An Alignment-Independent 3D-QSAR Study of FGFR2 Tyrosine Kinase Inhibitors

Behzad Jafari ^1,2,3, Maryam Hamzeh-Mivehroud ^1,2, Ali Akbar Alizadeh ¹, Mehdi Sharifi ^1,2, Siavoush Dastmalchi ^1,2 *

Cited by CrossRef: 4

1- Li W, Little N, Park J, Foster C, Chen J, Lu J. Tumor-Associated Fibroblast-Targeting Nanoparticles for Enhancing Solid Tumor Therapy: Progress and Challenges. Mol Pharmaceutics. 2021;18(8):2889 [Crossref]

2- Alizadeh A, Jafari B, Dastmalchi S. Alignment independent 3D-QSAR studies and molecular dynamics simulations for the identification of potent and selective S1P1 receptor agonists. Journal of Molecular Graphics and Modelling. 2020;94:107459 [Crossref]

3- Li C, Li Z, Gong X, Liu J, Zheng T, Wang F, Wu J, Zhang B. Acidic tumor microenvironment-sensitive liposomes enhance colorectal cancer therapy by acting on both tumor cells and cancer-associated fibroblasts. Nanoscale. 2021;13(23):10509 [Crossref]

4- Ghaemian P, Shayanfar A. Image-based QSAR Model for the Prediction of P-gp Inhibitory Activity of Epigallocatechin and Gallocatechin Derivatives. CAD. 2019;15(3):212 [Crossref]