Applications of QSAR study in drug design of tubulin binding inhibitors
Author:
Affiliation:
1. Central University of South Bihar, Gaya, Bihar, India
Publisher
Informa UK Limited
Subject
Molecular Biology,General Medicine,Structural Biology
Link
https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2273437
Reference56 articles.
1. Aided J. C. & Des M. (2017). Improving quantitative structure–activity relationship models using Artificial Neural Networks trained with dropout. 30 (2) 177–189. https://doi.org/10.1007/s10822-016-9895-2
2. Structure and Ligand Based Drug Design Strategies in the Development of Novel 5- LOX Inhibitors
3. Badhani B. & Kakkar R. (2016 July). In silico studies on potential MCF-7 inhibitors : A combination of pharmacophore and 3D-QSAR modeling virtual screening molecular docking and pharmacokinetic analysis. Journal of Biomolecular Structure and Dynamics 35 (9) 1950-1967. https://doi.org/10.1080/07391102.2016.1202863
4. Microtubule destabilising agents: far more than just antimitotic anticancer drugs
5. A Structure-Based Drug Discovery Paradigm
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