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Title: | In-silico activity prediction, structure-based drug design, molecular docking and pharmacokinetic studies of selected quinazoline derivatives for their antiproliferative activity against triple negative breast cancer (MDA-MB231) cell line |
Authors: | Abdullahi, Sagiru Hamza |
Participants: | Uzairu, Adamu Shallangwa, Gideon Adamu Uba, Sani Umar, Abdullahi Bello |
Issue Date: | 2022 |
Series/Report no.: | Bulletin of the National Research Centre, Volume 46 (2022), Article number: 2 |
Abstract: | In this research work Genetic function algorithm was employed to generate the QSAR models due to its ability to produce a vast population of model instead of just a single model. Four models were generated from the model building set and the first one was chosen because of its statistical significance. |
URI: | http://tailieuso.tlu.edu.vn/handle/DHTL/12599 |
Source: | https://link.springer.com/article/10.1186/s42269-021-00690-z |
ISSN: | 2522-8307 |
Appears in Collections: | Tài liệu mở |
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