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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 |
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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