Antonijević, Mirjana

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orcid::0000-0002-4722-0903
  • Antonijević, Mirjana (10)
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Author's Bibliography

Application of Computational Methods for Antipsychotic Drug Design and Optimization

Radan, Milica; Ružić, Dušan; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina

(John Wiley & Sons Ltd., 2021)

TY  - CONF
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
PY  - 2021
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4860
PB  - John Wiley & Sons Ltd.
C3  - Basic & Clinical Pharmacology & Toxicology (BCPT)
T1  - Application of Computational Methods for Antipsychotic Drug Design and Optimization
VL  - 128
IS  - S2
SP  - 3
EP  - 3
DO  - 10.1111/bcpt.13570
ER  - 
@conference{
author = "Radan, Milica and Ružić, Dušan and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina",
year = "2021",
publisher = "John Wiley & Sons Ltd.",
journal = "Basic & Clinical Pharmacology & Toxicology (BCPT)",
title = "Application of Computational Methods for Antipsychotic Drug Design and Optimization",
volume = "128",
number = "S2",
pages = "3-3",
doi = "10.1111/bcpt.13570"
}
Radan, M., Ružić, D., Antonijević, M., Đikić, T.,& Nikolić, K.. (2021). Application of Computational Methods for Antipsychotic Drug Design and Optimization. in Basic & Clinical Pharmacology & Toxicology (BCPT)
John Wiley & Sons Ltd.., 128(S2), 3-3.
https://doi.org/10.1111/bcpt.13570
Radan M, Ružić D, Antonijević M, Đikić T, Nikolić K. Application of Computational Methods for Antipsychotic Drug Design and Optimization. in Basic & Clinical Pharmacology & Toxicology (BCPT). 2021;128(S2):3-3.
doi:10.1111/bcpt.13570 .
Radan, Milica, Ružić, Dušan, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, "Application of Computational Methods for Antipsychotic Drug Design and Optimization" in Basic & Clinical Pharmacology & Toxicology (BCPT), 128, no. S2 (2021):3-3,
https://doi.org/10.1111/bcpt.13570 . .

In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts

Radan, Milica; Ružić, Dušan; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina

(EFMC-ISMC & EFMC-YMCS, 2020)

TY  - CONF
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4856
PB  - EFMC-ISMC & EFMC-YMCS
C3  - EFMC-ISMC & EFMC-YMCS Virtual poster session Powered by the EFMC Young Scientists Network, September 9, 2020, Book of Abstracts
T1  - In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts
SP  - 51
EP  - 51
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4856
ER  - 
@conference{
author = "Radan, Milica and Ružić, Dušan and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina",
year = "2020",
publisher = "EFMC-ISMC & EFMC-YMCS",
journal = "EFMC-ISMC & EFMC-YMCS Virtual poster session Powered by the EFMC Young Scientists Network, September 9, 2020, Book of Abstracts",
title = "In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts",
pages = "51-51",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4856"
}
Radan, M., Ružić, D., Antonijević, M., Đikić, T.,& Nikolić, K.. (2020). In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts. in EFMC-ISMC & EFMC-YMCS Virtual poster session Powered by the EFMC Young Scientists Network, September 9, 2020, Book of Abstracts
EFMC-ISMC & EFMC-YMCS., 51-51.
https://hdl.handle.net/21.15107/rcub_farfar_4856
Radan M, Ružić D, Antonijević M, Đikić T, Nikolić K. In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts. in EFMC-ISMC & EFMC-YMCS Virtual poster session Powered by the EFMC Young Scientists Network, September 9, 2020, Book of Abstracts. 2020;:51-51.
https://hdl.handle.net/21.15107/rcub_farfar_4856 .
Radan, Milica, Ružić, Dušan, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, "In silico rational druga design and modelling studies of novel 5-HT2A receptor antagonsts" in EFMC-ISMC & EFMC-YMCS Virtual poster session Powered by the EFMC Young Scientists Network, September 9, 2020, Book of Abstracts (2020):51-51,
https://hdl.handle.net/21.15107/rcub_farfar_4856 .

Application of computational methods for antipsychotic drug design and optimization

Radan, Milica; Ružić, Dušan; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina

(2020)

TY  - CONF
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4937
C3  - 10th International Conference on Biotechnology and Bioengineering (ICBB2020). Dec. 16-18, 2020. Virtual conference
T1  - Application of computational methods for antipsychotic drug design and optimization
SP  - 16
EP  - 16
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4937
ER  - 
@conference{
author = "Radan, Milica and Ružić, Dušan and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina",
year = "2020",
journal = "10th International Conference on Biotechnology and Bioengineering (ICBB2020). Dec. 16-18, 2020. Virtual conference",
title = "Application of computational methods for antipsychotic drug design and optimization",
pages = "16-16",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4937"
}
Radan, M., Ružić, D., Antonijević, M., Đikić, T.,& Nikolić, K.. (2020). Application of computational methods for antipsychotic drug design and optimization. in 10th International Conference on Biotechnology and Bioengineering (ICBB2020). Dec. 16-18, 2020. Virtual conference, 16-16.
https://hdl.handle.net/21.15107/rcub_farfar_4937
Radan M, Ružić D, Antonijević M, Đikić T, Nikolić K. Application of computational methods for antipsychotic drug design and optimization. in 10th International Conference on Biotechnology and Bioengineering (ICBB2020). Dec. 16-18, 2020. Virtual conference. 2020;:16-16.
https://hdl.handle.net/21.15107/rcub_farfar_4937 .
Radan, Milica, Ružić, Dušan, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, "Application of computational methods for antipsychotic drug design and optimization" in 10th International Conference on Biotechnology and Bioengineering (ICBB2020). Dec. 16-18, 2020. Virtual conference (2020):16-16,
https://hdl.handle.net/21.15107/rcub_farfar_4937 .

Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies

Radan, Milica; Ružić, Dušan; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina

(European Research Network on Signal Transduction (ERNEST) CA18133, 2020)

TY  - CONF
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4873
PB  - European Research Network on Signal Transduction (ERNEST) CA18133
C3  - 3rd Meeting of the European Research Network on Signal Transduction (ERNEST COST Action CA18133), Signal transduction: From the genomic to the systems level (and everything in between), October 12-14, 2020, Abstract Booklet
T1  - Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies
SP  - 75
EP  - 75
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4873
ER  - 
@conference{
author = "Radan, Milica and Ružić, Dušan and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina",
year = "2020",
publisher = "European Research Network on Signal Transduction (ERNEST) CA18133",
journal = "3rd Meeting of the European Research Network on Signal Transduction (ERNEST COST Action CA18133), Signal transduction: From the genomic to the systems level (and everything in between), October 12-14, 2020, Abstract Booklet",
title = "Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies",
pages = "75-75",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4873"
}
Radan, M., Ružić, D., Antonijević, M., Đikić, T.,& Nikolić, K.. (2020). Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies. in 3rd Meeting of the European Research Network on Signal Transduction (ERNEST COST Action CA18133), Signal transduction: From the genomic to the systems level (and everything in between), October 12-14, 2020, Abstract Booklet
European Research Network on Signal Transduction (ERNEST) CA18133., 75-75.
https://hdl.handle.net/21.15107/rcub_farfar_4873
Radan M, Ružić D, Antonijević M, Đikić T, Nikolić K. Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies. in 3rd Meeting of the European Research Network on Signal Transduction (ERNEST COST Action CA18133), Signal transduction: From the genomic to the systems level (and everything in between), October 12-14, 2020, Abstract Booklet. 2020;:75-75.
https://hdl.handle.net/21.15107/rcub_farfar_4873 .
Radan, Milica, Ružić, Dušan, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, "Discovery of new 5-HT2A receptor antagonists with a strategy of combining ligand and target-based drug design methodologies" in 3rd Meeting of the European Research Network on Signal Transduction (ERNEST COST Action CA18133), Signal transduction: From the genomic to the systems level (and everything in between), October 12-14, 2020, Abstract Booklet (2020):75-75,
https://hdl.handle.net/21.15107/rcub_farfar_4873 .

Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists

Radan, Milica; Ružić, Dušan; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina

(European Research Network on Signal Transduction (ERNEST) CA18133, 2020)

TY  - CONF
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4855
AB  - Serotonin 5-HT2A receptors (5-HT2AR) are highly expressed in human prefrontal cortex, essential for
learning and cognition [1]. Consequently, antagonists of these receptors are effective in treatment of
various neuropsychiatric disorders, such as depression, insomnia, schizophrenia, anxiety, and
cent progress in molecular modelling studies has led to significant success
in drug discovery using ligand and target-based methods. To design novel potent 5-HT2AR antagonists,
we report a strategy of combining three-dimensional quantitative structure-activity relationship (3DQSAR)
modelling with molecular docking and molecular dynamic (MD) simulation. Based on the
common structural features, data set of 75 compounds was divided into three clusters. Firstly, MD
simulations were carried out for each cluster representative in complex with 5-HT2AR, providing
important molecular level insight into their structure and dynamics. Afterward, to provide more
accurate information about binding modes in the active site of the receptor, obtained conformations
were used for docking studies and generation of the virtually bioactive conformations of all studied
ligands. In addition, 3D-QSAR study, utilizing selected conformers, was carried out to gain further
insights into the structural requirements that affect their antagonistic activity. Besides, some
commercially available 5-HT2AR antagonists were examined through in vitro PAMPA essay, as well as
in silico computational methods not only to improve BBB permeability of new designed compounds,
but also to establish promising tool to study their membrane permeability in detail. Overall, these and
future results will provide new methodologies that could be used as guidelines for rational drug design
of novel 5-HT2AR antagonists.
PB  - European Research Network on Signal Transduction (ERNEST) CA18133
C3  - 2nd ERNEST Online Meeting New Perspectives in Signal Transduction: GPCRs and Beyond, 28-30 March 2020, Abstract Book
T1  - Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists
SP  - 10
EP  - 10
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4855
ER  - 
@conference{
author = "Radan, Milica and Ružić, Dušan and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina",
year = "2020",
abstract = "Serotonin 5-HT2A receptors (5-HT2AR) are highly expressed in human prefrontal cortex, essential for
learning and cognition [1]. Consequently, antagonists of these receptors are effective in treatment of
various neuropsychiatric disorders, such as depression, insomnia, schizophrenia, anxiety, and
cent progress in molecular modelling studies has led to significant success
in drug discovery using ligand and target-based methods. To design novel potent 5-HT2AR antagonists,
we report a strategy of combining three-dimensional quantitative structure-activity relationship (3DQSAR)
modelling with molecular docking and molecular dynamic (MD) simulation. Based on the
common structural features, data set of 75 compounds was divided into three clusters. Firstly, MD
simulations were carried out for each cluster representative in complex with 5-HT2AR, providing
important molecular level insight into their structure and dynamics. Afterward, to provide more
accurate information about binding modes in the active site of the receptor, obtained conformations
were used for docking studies and generation of the virtually bioactive conformations of all studied
ligands. In addition, 3D-QSAR study, utilizing selected conformers, was carried out to gain further
insights into the structural requirements that affect their antagonistic activity. Besides, some
commercially available 5-HT2AR antagonists were examined through in vitro PAMPA essay, as well as
in silico computational methods not only to improve BBB permeability of new designed compounds,
but also to establish promising tool to study their membrane permeability in detail. Overall, these and
future results will provide new methodologies that could be used as guidelines for rational drug design
of novel 5-HT2AR antagonists.",
publisher = "European Research Network on Signal Transduction (ERNEST) CA18133",
journal = "2nd ERNEST Online Meeting New Perspectives in Signal Transduction: GPCRs and Beyond, 28-30 March 2020, Abstract Book",
title = "Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists",
pages = "10-10",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4855"
}
Radan, M., Ružić, D., Antonijević, M., Đikić, T.,& Nikolić, K.. (2020). Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists. in 2nd ERNEST Online Meeting New Perspectives in Signal Transduction: GPCRs and Beyond, 28-30 March 2020, Abstract Book
European Research Network on Signal Transduction (ERNEST) CA18133., 10-10.
https://hdl.handle.net/21.15107/rcub_farfar_4855
Radan M, Ružić D, Antonijević M, Đikić T, Nikolić K. Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists. in 2nd ERNEST Online Meeting New Perspectives in Signal Transduction: GPCRs and Beyond, 28-30 March 2020, Abstract Book. 2020;:10-10.
https://hdl.handle.net/21.15107/rcub_farfar_4855 .
Radan, Milica, Ružić, Dušan, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, "Combined ligand-based and structure-based approaches in rational drug design of novel 5-HT2A receptor antagonists" in 2nd ERNEST Online Meeting New Perspectives in Signal Transduction: GPCRs and Beyond, 28-30 March 2020, Abstract Book (2020):10-10,
https://hdl.handle.net/21.15107/rcub_farfar_4855 .

Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists

Radan, Milica; Antonijević, Mirjana; Ružić, Dušan; Đikić, Teodora; Agbaba, Danica; Nikolić, Katarina

(Centar za eksperimentalnu i primenjenu fiziologiju Farmaceutskog fakulteta Univerziteta u Beogradu, 2019)

TY  - CONF
AU  - Radan, Milica
AU  - Antonijević, Mirjana
AU  - Ružić, Dušan
AU  - Đikić, Teodora
AU  - Agbaba, Danica
AU  - Nikolić, Katarina
PY  - 2019
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4886
AB  - The serotonin 5-HT2A receptors are widely distributed throughout the central and the peripheral nervous system where they
play a key role in many physiological functions. Abnormal activity of 5-HT2A receptors is associated with various neurological
disorders, such as depression, schizophrenia, anxiety, and Parkinson disease. In order to analyze 3D-structure of the pharmacophore as well as binding kinetics of 5-HT2A-R antagonists, we have combined ligand and structure based approaches.
Three-dimensional quantitative structure-activity relationship (3D-QSAR) study in combination with molecular docking and
molecular dynamic (MD) simulation was used to identify key substituents responsible for high binding affinity and selectivity of
5-HT2A antagonists. The study was performed on wide range of structurally diverse antagonists that were divided into three
different clusters: clozapine, ziprasidone, and CHEMBL240876 derivates. We have obtained three different inactive, antagonistbound,
conformations of this receptor by using the 50ns long MD simulations with each cluster representative. Subsequently,
these conformations were used as templates for docking studies in order to find virtually bioactive conformations of ligands.
Selected virtually bioactive conformations were used for calculation of specific molecular descriptors (Grid Independent
Descriptors- GRIND) and 3D-QSAR model building. The 3D-QSAR approach was used to select the most influential variables
which were used for clarifying the structural features required for 5-HT2A antagonists. The reliability and predictive power of the
model was assessed using an external test set compounds and showed reasonable external predictability. The study provides
valuable information about the key structural features that are required in the rational drug design of novel 5-HT2A antagonists.
PB  - Centar za eksperimentalnu i primenjenu fiziologiju Farmaceutskog fakulteta Univerziteta u Beogradu
C3  - 2. Simpozijum iz biomedicine: bazična i klinička Neuronauka, KNJIGA SAŽETAKA, Farmaceutski fakultet - Univerzitet u Beogradu, 9. maj 2019.
T1  - Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists
SP  - 14
EP  - 15
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4886
ER  - 
@conference{
author = "Radan, Milica and Antonijević, Mirjana and Ružić, Dušan and Đikić, Teodora and Agbaba, Danica and Nikolić, Katarina",
year = "2019",
abstract = "The serotonin 5-HT2A receptors are widely distributed throughout the central and the peripheral nervous system where they
play a key role in many physiological functions. Abnormal activity of 5-HT2A receptors is associated with various neurological
disorders, such as depression, schizophrenia, anxiety, and Parkinson disease. In order to analyze 3D-structure of the pharmacophore as well as binding kinetics of 5-HT2A-R antagonists, we have combined ligand and structure based approaches.
Three-dimensional quantitative structure-activity relationship (3D-QSAR) study in combination with molecular docking and
molecular dynamic (MD) simulation was used to identify key substituents responsible for high binding affinity and selectivity of
5-HT2A antagonists. The study was performed on wide range of structurally diverse antagonists that were divided into three
different clusters: clozapine, ziprasidone, and CHEMBL240876 derivates. We have obtained three different inactive, antagonistbound,
conformations of this receptor by using the 50ns long MD simulations with each cluster representative. Subsequently,
these conformations were used as templates for docking studies in order to find virtually bioactive conformations of ligands.
Selected virtually bioactive conformations were used for calculation of specific molecular descriptors (Grid Independent
Descriptors- GRIND) and 3D-QSAR model building. The 3D-QSAR approach was used to select the most influential variables
which were used for clarifying the structural features required for 5-HT2A antagonists. The reliability and predictive power of the
model was assessed using an external test set compounds and showed reasonable external predictability. The study provides
valuable information about the key structural features that are required in the rational drug design of novel 5-HT2A antagonists.",
publisher = "Centar za eksperimentalnu i primenjenu fiziologiju Farmaceutskog fakulteta Univerziteta u Beogradu",
journal = "2. Simpozijum iz biomedicine: bazična i klinička Neuronauka, KNJIGA SAŽETAKA, Farmaceutski fakultet - Univerzitet u Beogradu, 9. maj 2019.",
title = "Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists",
pages = "14-15",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4886"
}
Radan, M., Antonijević, M., Ružić, D., Đikić, T., Agbaba, D.,& Nikolić, K.. (2019). Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists. in 2. Simpozijum iz biomedicine: bazična i klinička Neuronauka, KNJIGA SAŽETAKA, Farmaceutski fakultet - Univerzitet u Beogradu, 9. maj 2019.
Centar za eksperimentalnu i primenjenu fiziologiju Farmaceutskog fakulteta Univerziteta u Beogradu., 14-15.
https://hdl.handle.net/21.15107/rcub_farfar_4886
Radan M, Antonijević M, Ružić D, Đikić T, Agbaba D, Nikolić K. Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists. in 2. Simpozijum iz biomedicine: bazična i klinička Neuronauka, KNJIGA SAŽETAKA, Farmaceutski fakultet - Univerzitet u Beogradu, 9. maj 2019.. 2019;:14-15.
https://hdl.handle.net/21.15107/rcub_farfar_4886 .
Radan, Milica, Antonijević, Mirjana, Ružić, Dušan, Đikić, Teodora, Agbaba, Danica, Nikolić, Katarina, "Structure and ligand based drug design strategies in the development of novel serotonin 5-HTt2a receptor antagonists" in 2. Simpozijum iz biomedicine: bazična i klinička Neuronauka, KNJIGA SAŽETAKA, Farmaceutski fakultet - Univerzitet u Beogradu, 9. maj 2019. (2019):14-15,
https://hdl.handle.net/21.15107/rcub_farfar_4886 .

Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists

Radan, Milica; Antonijević, Mirjana; Đikić, Teodora; Ružić, Dušan; Nikolić, Katarina

(University of Kragujevac, Kragujevac, Serbia, 2019)

TY  - CONF
AU  - Radan, Milica
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Ružić, Dušan
AU  - Nikolić, Katarina
PY  - 2019
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4947
AB  - Serotonin 5-HT2A receptors are widely distributed in the human brain where they play a key role in
many physiological functions. Numerous neurological disorders caused by 5-HT2A malfunction have
made it a very attractive target. Therefore, analysis of 3D-structure of the pharmacophore as well as
binding kinetics of 5-HT2A antagonists would be beneficial for future rational drug design. Three dimensional quantitative structure-activity relationship (3D-QSAR) study was combined with molecular docking and molecular dynamic (MD) simulation in order to find crucial structural features responsible for high binding affinity and selectivity of 5-HT2A antagonists. This study was performed on wide range of structurally diverse antagonists that were divided into three different clusters: clozapine, ziprasidone, and CHEMBL240876 derivates. We have used 50ns MD simulations to obtain inactive, antagonist bound, conformations of each cluster representative. Subsequently, these conformations were used as templates for docking studies in order to find virtually bioactive conformations of examined compounds.
Selected virtually bioactive conformations were used for generation of specific molecular descriptors
(Grid Independent Descriptors- GRIND) and 3D-QSAR model building. The 3D-QSAR approach was used to identify the most important structural determinants responsible for the antagonistic activity and to propose structural modifications for novel antagonists of serotonin 5-HT2A receptors. Furthermore, diverse internal and external validation methods were applied. Obtained statistical parameters indicated the reliability and good predictive potential of the created model. Following these findings we have identified differences and similarities in the binding mode and pharmacophores of structurally diverse 5-HT2A antagonists as well as conformational changes they provoke.
PB  - University of Kragujevac, Kragujevac, Serbia
PB  - Bioengineering Reserach and
Development Centre BioIRC
C3  - ICCB 2019 Procedings - 8th International Conference on Computational Bioengineering, 4-6 September 2019, Belgrade, Serbia
T1  - Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists
SP  - 84
EP  - 84
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4947
ER  - 
@conference{
author = "Radan, Milica and Antonijević, Mirjana and Đikić, Teodora and Ružić, Dušan and Nikolić, Katarina",
year = "2019",
abstract = "Serotonin 5-HT2A receptors are widely distributed in the human brain where they play a key role in
many physiological functions. Numerous neurological disorders caused by 5-HT2A malfunction have
made it a very attractive target. Therefore, analysis of 3D-structure of the pharmacophore as well as
binding kinetics of 5-HT2A antagonists would be beneficial for future rational drug design. Three dimensional quantitative structure-activity relationship (3D-QSAR) study was combined with molecular docking and molecular dynamic (MD) simulation in order to find crucial structural features responsible for high binding affinity and selectivity of 5-HT2A antagonists. This study was performed on wide range of structurally diverse antagonists that were divided into three different clusters: clozapine, ziprasidone, and CHEMBL240876 derivates. We have used 50ns MD simulations to obtain inactive, antagonist bound, conformations of each cluster representative. Subsequently, these conformations were used as templates for docking studies in order to find virtually bioactive conformations of examined compounds.
Selected virtually bioactive conformations were used for generation of specific molecular descriptors
(Grid Independent Descriptors- GRIND) and 3D-QSAR model building. The 3D-QSAR approach was used to identify the most important structural determinants responsible for the antagonistic activity and to propose structural modifications for novel antagonists of serotonin 5-HT2A receptors. Furthermore, diverse internal and external validation methods were applied. Obtained statistical parameters indicated the reliability and good predictive potential of the created model. Following these findings we have identified differences and similarities in the binding mode and pharmacophores of structurally diverse 5-HT2A antagonists as well as conformational changes they provoke.",
publisher = "University of Kragujevac, Kragujevac, Serbia, Bioengineering Reserach and
Development Centre BioIRC",
journal = "ICCB 2019 Procedings - 8th International Conference on Computational Bioengineering, 4-6 September 2019, Belgrade, Serbia",
title = "Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists",
pages = "84-84",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4947"
}
Radan, M., Antonijević, M., Đikić, T., Ružić, D.,& Nikolić, K.. (2019). Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists. in ICCB 2019 Procedings - 8th International Conference on Computational Bioengineering, 4-6 September 2019, Belgrade, Serbia
University of Kragujevac, Kragujevac, Serbia., 84-84.
https://hdl.handle.net/21.15107/rcub_farfar_4947
Radan M, Antonijević M, Đikić T, Ružić D, Nikolić K. Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists. in ICCB 2019 Procedings - 8th International Conference on Computational Bioengineering, 4-6 September 2019, Belgrade, Serbia. 2019;:84-84.
https://hdl.handle.net/21.15107/rcub_farfar_4947 .
Radan, Milica, Antonijević, Mirjana, Đikić, Teodora, Ružić, Dušan, Nikolić, Katarina, "Combined 3D-QSAR modeling, molecular dynamics and molecular docking studies in rational drug design of novel 5-HT2A antagonists" in ICCB 2019 Procedings - 8th International Conference on Computational Bioengineering, 4-6 September 2019, Belgrade, Serbia (2019):84-84,
https://hdl.handle.net/21.15107/rcub_farfar_4947 .

Rational drug design of novel 5-HT2A antagonists

Đikić, Teodora; Antonijević, Mirjana; Radan, Milica; Ružić, Dušan; Nikolić, Katarina

(Chimica e Farmacia Università degli Studi di Siena, Italy, 2019)

TY  - CONF
AU  - Đikić, Teodora
AU  - Antonijević, Mirjana
AU  - Radan, Milica
AU  - Ružić, Dušan
AU  - Nikolić, Katarina
PY  - 2019
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4895
PB  - Chimica e Farmacia Università degli Studi di Siena, Italy
C3  - 12th European Workshop in Drug Design, May 19 - 24, 2019, Certosa Di Pontignano Siena, Italy, Book of Abstract
T1  - Rational drug design of novel 5-HT2A antagonists
SP  - 63
EP  - 63
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4895
ER  - 
@conference{
author = "Đikić, Teodora and Antonijević, Mirjana and Radan, Milica and Ružić, Dušan and Nikolić, Katarina",
year = "2019",
publisher = "Chimica e Farmacia Università degli Studi di Siena, Italy",
journal = "12th European Workshop in Drug Design, May 19 - 24, 2019, Certosa Di Pontignano Siena, Italy, Book of Abstract",
title = "Rational drug design of novel 5-HT2A antagonists",
pages = "63-63",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4895"
}
Đikić, T., Antonijević, M., Radan, M., Ružić, D.,& Nikolić, K.. (2019). Rational drug design of novel 5-HT2A antagonists. in 12th European Workshop in Drug Design, May 19 - 24, 2019, Certosa Di Pontignano Siena, Italy, Book of Abstract
Chimica e Farmacia Università degli Studi di Siena, Italy., 63-63.
https://hdl.handle.net/21.15107/rcub_farfar_4895
Đikić T, Antonijević M, Radan M, Ružić D, Nikolić K. Rational drug design of novel 5-HT2A antagonists. in 12th European Workshop in Drug Design, May 19 - 24, 2019, Certosa Di Pontignano Siena, Italy, Book of Abstract. 2019;:63-63.
https://hdl.handle.net/21.15107/rcub_farfar_4895 .
Đikić, Teodora, Antonijević, Mirjana, Radan, Milica, Ružić, Dušan, Nikolić, Katarina, "Rational drug design of novel 5-HT2A antagonists" in 12th European Workshop in Drug Design, May 19 - 24, 2019, Certosa Di Pontignano Siena, Italy, Book of Abstract (2019):63-63,
https://hdl.handle.net/21.15107/rcub_farfar_4895 .

Kompjuterski dizajn agonista i antognista 5‐HT2A receptora

Radan, Milica; Antonijević, Mirjana; Đikić, Teodora; Nikolić, Katarina; Agbaba, Danica

(Savez farmaceutskih udruženja Srbije (SFUS), 2018)

TY  - CONF
AU  - Radan, Milica
AU  - Antonijević, Mirjana
AU  - Đikić, Teodora
AU  - Nikolić, Katarina
AU  - Agbaba, Danica
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4878
AB  - Serotoninski 5‐HT2A receptori su uključeni u mnogobrojne fiziološke i
patofiziološke procese. Strukturno različiti ligandi (agonisti, antagonisti i inverzni
agonisti) dovode do različitih konformacionih promena ovih receptora, izazivajući
brojne biološke odgovore.
Da bi se molekul ponašao kao agonista/antagonista potrebno je da poseduje
različite funkcionalne grupe i specifične interakcije sa određenim aminokiselinama u
vezujućem mestu receptora. Razumevanje i objašnjavanje različitosti u strukturi i
vezivanju za receptor, kod agonista i antagonista, može biti od značaja za racionalni
dizajn novih lekova.
Za razumevanje strukturnih razlika u farmakoforama, kao i kinetici vezivanja i
zmeđu agonista i antagonista korišćeni su ligand‐based i structure‐based pristupi. 3DQSAR
(3D‐quantitative structure activity relationship) studije su izvođene na grupama
od 79 agonista i 90 antagonista. Uporedo su odrađene četiri simulacije molekularne
dinamike: serotoninski 5‐HT2A receptor u kompleksu sa agonistima (serotonin,
lorkaserin) i antagonistima (klozapin, ziprazidon).
Dobijeni statistički i validacioni parametri za modele agonista i antagonista
ukazuju na pouzdanost i dobru predviđajuću moć 3D‐QSAR modela. Najznačajnije
varijable formiranih modela daju nam uvid u najvažnije strukturne razlike između njih.
Rezultati MD simulacije otkrivaju najvažnije razlike u konformacionim promenama
uzrokovane vezivanjem agoniste/antagoniste, kao i interakcije liganada sa ključnim
aminokiselinama, odgovornim za vezivanje. Pomoću trajektorije iz MD simulacije
izvučeni su modeli, 3D strukture 5‐HT2A receptora u njegovom aktivnom (agonistvezujućem)
i inaktivnom (antagonist‐vezujućem) stanju.
Na osnovu ovih in silico rezultata moguće je zaključiti da li je jedinjenje agonista
ili antagonista. Formirani modeli će dalje biti korišćeni za ligand‐based i structure‐based
virtualni skrining i racionalni dizajn novih 5‐HT2A liganada.
AB  - The serotonin 5‐HT2A receptors have shown a wide range of clinical implications
since they are involved in various physiological and pathophysiological processes.
Structurally diverse ligands (agonists, antagonists, and inverse agonists) can lead to
different biological responses, by provoking different conformational changes of these
receptors.
To behave like an agonist/antagonist the molecule should have a set of
functional groups and specific interactions with certain amino acids in the binding site.
Understanding and explaining dissimilarities in agonist/antagonist structure and
receptor binding would be beneficial for future rational drug design.
To understand structural differences in pharmacophores as well as the binding
kinetics of agonists and antagonists, we have combined ligand‐based and structurebased
approaches. 3D‐quantitative structure‐activity relationship (3D‐QSAR) studies
were performed on a series of 79 agonists and 90 antagonists. Simultaneously, we run
four molecular dynamics (MD) simulations: 5‐HT2A in complex with agonists (serotonin,
lorcaserin), and antagonists (clozapine and ziprasidone).
Obtained statistical and validation parameters for agonists and antagonists
model indicated the reliability and good predictive potential of the 3D‐QSAR models.
The most influential variables of selected models gave us the insight into major
structural dissimilarities between them. Results of MD simulation revealed major
differences in conformational changes caused by agonist/antagonist binding, as well as
ligand interactions with the key amino acids, responsible for them. Additionally, from
MD simulation trajectory, we have extracted 3D structure models of 5‐HT2A in its active
(agonist‐bound) and inactive (antagonist‐bound) state.
Using these finding we will be able to discriminate whether a compound is
agonist or antagonist, in silico. Furthermore, models that we have generated will be
further used for ligand‐based and structure‐based virtual screening and rational drug
design of novel 5‐HT2A ligands.
PB  - Savez farmaceutskih udruženja Srbije (SFUS)
C3  - Arhiv za farmaciju
T1  - Kompjuterski dizajn agonista i antognista 5‐HT2A receptora
T1  - Combined ligand and structure‐based approach in search of 5‐HT2A receptor agonists and antagonists
VL  - 68
IS  - 3
SP  - 389
EP  - 390
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4878
ER  - 
@conference{
author = "Radan, Milica and Antonijević, Mirjana and Đikić, Teodora and Nikolić, Katarina and Agbaba, Danica",
year = "2018",
abstract = "Serotoninski 5‐HT2A receptori su uključeni u mnogobrojne fiziološke i
patofiziološke procese. Strukturno različiti ligandi (agonisti, antagonisti i inverzni
agonisti) dovode do različitih konformacionih promena ovih receptora, izazivajući
brojne biološke odgovore.
Da bi se molekul ponašao kao agonista/antagonista potrebno je da poseduje
različite funkcionalne grupe i specifične interakcije sa određenim aminokiselinama u
vezujućem mestu receptora. Razumevanje i objašnjavanje različitosti u strukturi i
vezivanju za receptor, kod agonista i antagonista, može biti od značaja za racionalni
dizajn novih lekova.
Za razumevanje strukturnih razlika u farmakoforama, kao i kinetici vezivanja i
zmeđu agonista i antagonista korišćeni su ligand‐based i structure‐based pristupi. 3DQSAR
(3D‐quantitative structure activity relationship) studije su izvođene na grupama
od 79 agonista i 90 antagonista. Uporedo su odrađene četiri simulacije molekularne
dinamike: serotoninski 5‐HT2A receptor u kompleksu sa agonistima (serotonin,
lorkaserin) i antagonistima (klozapin, ziprazidon).
Dobijeni statistički i validacioni parametri za modele agonista i antagonista
ukazuju na pouzdanost i dobru predviđajuću moć 3D‐QSAR modela. Najznačajnije
varijable formiranih modela daju nam uvid u najvažnije strukturne razlike između njih.
Rezultati MD simulacije otkrivaju najvažnije razlike u konformacionim promenama
uzrokovane vezivanjem agoniste/antagoniste, kao i interakcije liganada sa ključnim
aminokiselinama, odgovornim za vezivanje. Pomoću trajektorije iz MD simulacije
izvučeni su modeli, 3D strukture 5‐HT2A receptora u njegovom aktivnom (agonistvezujućem)
i inaktivnom (antagonist‐vezujućem) stanju.
Na osnovu ovih in silico rezultata moguće je zaključiti da li je jedinjenje agonista
ili antagonista. Formirani modeli će dalje biti korišćeni za ligand‐based i structure‐based
virtualni skrining i racionalni dizajn novih 5‐HT2A liganada., The serotonin 5‐HT2A receptors have shown a wide range of clinical implications
since they are involved in various physiological and pathophysiological processes.
Structurally diverse ligands (agonists, antagonists, and inverse agonists) can lead to
different biological responses, by provoking different conformational changes of these
receptors.
To behave like an agonist/antagonist the molecule should have a set of
functional groups and specific interactions with certain amino acids in the binding site.
Understanding and explaining dissimilarities in agonist/antagonist structure and
receptor binding would be beneficial for future rational drug design.
To understand structural differences in pharmacophores as well as the binding
kinetics of agonists and antagonists, we have combined ligand‐based and structurebased
approaches. 3D‐quantitative structure‐activity relationship (3D‐QSAR) studies
were performed on a series of 79 agonists and 90 antagonists. Simultaneously, we run
four molecular dynamics (MD) simulations: 5‐HT2A in complex with agonists (serotonin,
lorcaserin), and antagonists (clozapine and ziprasidone).
Obtained statistical and validation parameters for agonists and antagonists
model indicated the reliability and good predictive potential of the 3D‐QSAR models.
The most influential variables of selected models gave us the insight into major
structural dissimilarities between them. Results of MD simulation revealed major
differences in conformational changes caused by agonist/antagonist binding, as well as
ligand interactions with the key amino acids, responsible for them. Additionally, from
MD simulation trajectory, we have extracted 3D structure models of 5‐HT2A in its active
(agonist‐bound) and inactive (antagonist‐bound) state.
Using these finding we will be able to discriminate whether a compound is
agonist or antagonist, in silico. Furthermore, models that we have generated will be
further used for ligand‐based and structure‐based virtual screening and rational drug
design of novel 5‐HT2A ligands.",
publisher = "Savez farmaceutskih udruženja Srbije (SFUS)",
journal = "Arhiv za farmaciju",
title = "Kompjuterski dizajn agonista i antognista 5‐HT2A receptora, Combined ligand and structure‐based approach in search of 5‐HT2A receptor agonists and antagonists",
volume = "68",
number = "3",
pages = "389-390",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4878"
}
Radan, M., Antonijević, M., Đikić, T., Nikolić, K.,& Agbaba, D.. (2018). Kompjuterski dizajn agonista i antognista 5‐HT2A receptora. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije (SFUS)., 68(3), 389-390.
https://hdl.handle.net/21.15107/rcub_farfar_4878
Radan M, Antonijević M, Đikić T, Nikolić K, Agbaba D. Kompjuterski dizajn agonista i antognista 5‐HT2A receptora. in Arhiv za farmaciju. 2018;68(3):389-390.
https://hdl.handle.net/21.15107/rcub_farfar_4878 .
Radan, Milica, Antonijević, Mirjana, Đikić, Teodora, Nikolić, Katarina, Agbaba, Danica, "Kompjuterski dizajn agonista i antognista 5‐HT2A receptora" in Arhiv za farmaciju, 68, no. 3 (2018):389-390,
https://hdl.handle.net/21.15107/rcub_farfar_4878 .

3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists

Antonijević, Mirjana; Nikolić, Katarina; Vučićević, Jelica; Oljačić, Slavica; Agbaba, Danica

(Savez farmaceutskih udruženja Srbije, Beograd, 2017)

TY  - JOUR
AU  - Antonijević, Mirjana
AU  - Nikolić, Katarina
AU  - Vučićević, Jelica
AU  - Oljačić, Slavica
AU  - Agbaba, Danica
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3013
AB  - Creation of a statistically reliable 3D-QSAR (Quantitative Structure Activity Relationships) model enables definition of the structure of the pharmacophore for antagonists of serotonin 5-HT2A receptors and selection of the key molecular determinants for the design of new antagonists. A 3D-QSAR study was applied on a series of 50 antagonists of 5-HT2A receptors. The data set is divided into the training set, composed of 33 compounds, and test set containing 14 molecules. The training set was used to build the 3D-QSAR model, while test set was used for model validation. This 3D-QSAR study was performed by use of the Pentacle 1.07 programs. Obtained statistical and validation parameters for training set (R²= 0.96; Q²=0.75, RMSEE= 0.211); and for test set (R²pred=0.51; RMSEP= 0.558); indicate on reliability and good predictive potential of the 3D-QSAR model. Based on the most influential variables of the selected 3D-QSAR model, the molecular determinants for the antagonistic effect on the 5-HT2A receptors were selected: hydrogen bond acceptor and hydrogen bond donor at a distance of 10.4A-10.8A (v495: O-N1); carbonyl oxygen and a steric hot spot at a distance of 14.8A-15.2A (v640: N1-TIP); hydrophobic domain and hydrogen bond acceptor at a distance of 3.2A-3.6A (v276: DRY-O); two steric hot spots at a distance of 18.8A-19.2A (v248: TIP-TIP) .
AB  - Formiranjem statistički pouzdanog 3D-QSAR (Quantitative Structure Activity Relationships) modela omogućeno je definisanje strukture farmakofore antagonista serotoninskih 5-HT₂A receptora i selekcija ključnih molekulskih determinanti za dizajn novih antagonista serotoninskih 5-HT₂A receptora. 3D-QSAR studija je primenjena na seriji od 50 antagonista serotoninskih 5-HT₂A receptora koji su podeljeni na trening set od 33 molekula i test set od 14 molekula. Trening set je korišćen za formiranje 3D-QSAR modela, dok je test set primenjen za validaciju modela. Za ovu 3D-QSAR studiju je upotrebljen Pentacle 1.07 program. Izračunati validacioni i statistički parametri 3D-QSAR modela (R²=0,96; Q²=0,75; RMSEE= 0,211), kao i parametri eksterne validacije na test setu (R²pred =0,51; RMSEP= 0,558), ukazuju na pouzdanost i dobru moć predviđanja izabranog 3D-QSAR modela. Na osnovu najuticajnijih varijabli izabranog 3D-QSAR modela definisana je struktura farmakofora za antagonističko dejstvo na serotoninskim 5-HT₂A receptorima: donor i akceptor vodonične veze na rastojanju od 10,4A-10,8A (v495: O-N1); karbonilni kiseonik i sterni centar na rastojanju od 14,8A-15,2A (v640: N1-TIP); hidrofobni centar i donor vodonične veze na rastojanju od 3,2A- 3,6A (v276: DRY-O); dva sterna centra na rastojanju od 18,8A-19,2A (v248: TIP-TIP).
PB  - Savez farmaceutskih udruženja Srbije, Beograd
T2  - Arhiv za farmaciju
T1  - 3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists
T1  - 3D-QSAR modelovanje i analiza farmakofore antagonista serotoninskih 5-HT2A receptora
VL  - 67
IS  - 4
SP  - 233
EP  - 247
DO  - 10.5937/arhfarm1704233A
ER  - 
@article{
author = "Antonijević, Mirjana and Nikolić, Katarina and Vučićević, Jelica and Oljačić, Slavica and Agbaba, Danica",
year = "2017",
abstract = "Creation of a statistically reliable 3D-QSAR (Quantitative Structure Activity Relationships) model enables definition of the structure of the pharmacophore for antagonists of serotonin 5-HT2A receptors and selection of the key molecular determinants for the design of new antagonists. A 3D-QSAR study was applied on a series of 50 antagonists of 5-HT2A receptors. The data set is divided into the training set, composed of 33 compounds, and test set containing 14 molecules. The training set was used to build the 3D-QSAR model, while test set was used for model validation. This 3D-QSAR study was performed by use of the Pentacle 1.07 programs. Obtained statistical and validation parameters for training set (R²= 0.96; Q²=0.75, RMSEE= 0.211); and for test set (R²pred=0.51; RMSEP= 0.558); indicate on reliability and good predictive potential of the 3D-QSAR model. Based on the most influential variables of the selected 3D-QSAR model, the molecular determinants for the antagonistic effect on the 5-HT2A receptors were selected: hydrogen bond acceptor and hydrogen bond donor at a distance of 10.4A-10.8A (v495: O-N1); carbonyl oxygen and a steric hot spot at a distance of 14.8A-15.2A (v640: N1-TIP); hydrophobic domain and hydrogen bond acceptor at a distance of 3.2A-3.6A (v276: DRY-O); two steric hot spots at a distance of 18.8A-19.2A (v248: TIP-TIP) ., Formiranjem statistički pouzdanog 3D-QSAR (Quantitative Structure Activity Relationships) modela omogućeno je definisanje strukture farmakofore antagonista serotoninskih 5-HT₂A receptora i selekcija ključnih molekulskih determinanti za dizajn novih antagonista serotoninskih 5-HT₂A receptora. 3D-QSAR studija je primenjena na seriji od 50 antagonista serotoninskih 5-HT₂A receptora koji su podeljeni na trening set od 33 molekula i test set od 14 molekula. Trening set je korišćen za formiranje 3D-QSAR modela, dok je test set primenjen za validaciju modela. Za ovu 3D-QSAR studiju je upotrebljen Pentacle 1.07 program. Izračunati validacioni i statistički parametri 3D-QSAR modela (R²=0,96; Q²=0,75; RMSEE= 0,211), kao i parametri eksterne validacije na test setu (R²pred =0,51; RMSEP= 0,558), ukazuju na pouzdanost i dobru moć predviđanja izabranog 3D-QSAR modela. Na osnovu najuticajnijih varijabli izabranog 3D-QSAR modela definisana je struktura farmakofora za antagonističko dejstvo na serotoninskim 5-HT₂A receptorima: donor i akceptor vodonične veze na rastojanju od 10,4A-10,8A (v495: O-N1); karbonilni kiseonik i sterni centar na rastojanju od 14,8A-15,2A (v640: N1-TIP); hidrofobni centar i donor vodonične veze na rastojanju od 3,2A- 3,6A (v276: DRY-O); dva sterna centra na rastojanju od 18,8A-19,2A (v248: TIP-TIP).",
publisher = "Savez farmaceutskih udruženja Srbije, Beograd",
journal = "Arhiv za farmaciju",
title = "3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists, 3D-QSAR modelovanje i analiza farmakofore antagonista serotoninskih 5-HT2A receptora",
volume = "67",
number = "4",
pages = "233-247",
doi = "10.5937/arhfarm1704233A"
}
Antonijević, M., Nikolić, K., Vučićević, J., Oljačić, S.,& Agbaba, D.. (2017). 3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije, Beograd., 67(4), 233-247.
https://doi.org/10.5937/arhfarm1704233A
Antonijević M, Nikolić K, Vučićević J, Oljačić S, Agbaba D. 3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists. in Arhiv za farmaciju. 2017;67(4):233-247.
doi:10.5937/arhfarm1704233A .
Antonijević, Mirjana, Nikolić, Katarina, Vučićević, Jelica, Oljačić, Slavica, Agbaba, Danica, "3D-QSAR modeling and pharmacophore study of serotonin 5HT-₂A receptors antagonists" in Arhiv za farmaciju, 67, no. 4 (2017):233-247,
https://doi.org/10.5937/arhfarm1704233A . .