@conference{
author = "Božić, Dragica and Baralić, Katarina and Živanović, Jovana and Živančević, Katarina and Marić, Đurđica and Vukelić, Dragana and Manić, Luka and Grahovac, Lazar and Ćurčić, Marijana and Antonijević-Miljaković, Evica and Buha-Đorđević, Aleksandra and Bulat, Zorica and Antonijević, Biljana and Đukić-Ćosić, Danijela",
year = "2023",
abstract = "In silico metode u toksikologiji podrazumevaju upotrebu kompjuterskih metoda koje omogućavaju analizu i predviđanje toksičnosti supstanci, pri čemu mogu usmeriti dalja eksperimentalna istraživanja. Sulforafan (SFN) je organosumporna supstanca iz grupe izotiocijanata, prisutna u povrću krstašica.
Dok se SFN-glukozinolat ekstrahuje iz brokolija i uključen je u brojne kliničke studije, SFN je hemijski sintetisan i koristi se samo u istraživačke svrhe. ..., In silico methods in toxicology use computer methods to analyze and predict the toxicity of substances, which can serve as a basis for further experimental studies. Sulforaphane (SFN) is an organosulfur chemical from the isothiocyanate group, present in cruciferous vegetables. While SFN-glucosinolate is extracted from broccoli and is presently ongoing numerous clinical studies, SFN has been chemically synthetized, currently only for research purposes. ...",
publisher = "Udruženje toksikologa Srbije",
journal = "13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book",
title = "Predviđanje toksičnosti sulforafana i sulforafan-glukozinolata primenom in silico US-EPA COMPTOX chemicals DASHBOARD metode, Sulforaphane and sulforaphane - glucosinolate toxicity prediction using the in silico US-EPA COMPTOX chemicals DASHBOARD method",
pages = "154-156",
url = "https://hdl.handle.net/21.15107/rcub_farfar_5513"
}