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eNauka >  Results >  Computational classification models for predicting the interaction of drugs with P-glycoprotein and breast cancer resistance protein
Title: Computational classification models for predicting the interaction of drugs with P-glycoprotein and breast cancer resistance protein
Authors: Erić, Slavica  ; Kalinić, Marko ; Ilić, K.; Zloh, Mire  
Issue Date: 2014
Publication: Saudi Pharmaceutical Journal
ISSN: 1062-936X SAR and QSAR in Environmental Research / Quantitative Structure Activity Relationships Search Idenfier
Publisher: Taylor & Francis Ltd, Abingdon
Type: Article
Collation: vol. 25 br. 12 str. 939-966
DOI: 10.1080/1062936X.2014.976265
WoS-ID: 000346571500002
Scopus-ID: 2-s2.0-84919866774
PMID: 25435255
URI: https://enauka.gov.rs/handle/123456789/510565
https://farfar.pharmacy.bg.ac.rs/handle/123456789/2133
Project: Kompjutersko dizajniranje, sinteza i biološka evaluacija novih heterocikličnih jedinjenja kao selektivnih inhibitora tumorogeneze (RS-172009)
M-category: 
21M21

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