| Combination of least absolute shrinkage and selection operator with Bayesian Regularization artificial neural network (LASSO-BR-ANN) for QSAR studies using functional group and … Z Mozafari, MA Chamjangali, M Arashi Chemometrics and Intelligent Laboratory Systems 200, 103998, 2020 | 17 | 2020 |
| Combination of radial distribution functions as structural descriptors with ligand-receptor interaction information in the QSAR study of some 4-anilinoquinazoline derivatives … M Beglari, N Goudarzi, D Shahsavani, M Arab Chamjangali, Z Mozafari Structural Chemistry 31 (4), 1481-1491, 2020 | 9 | 2020 |
| Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies Z Mozafari, M Arab Chamjangali, M Arashi, N Goudarzi Journal of Chemometrics 35 (5), e3338, 2021 | 7 | 2021 |
| Ridge regression coupled with a new uninformative variable elimination algorithm as a new descriptor screening method: Application of data reduction in QSAR study of some … M Lotfi, MA Chamjangali, Z Mozafari Chemometrics and Intelligent Laboratory Systems 232, 104714, 2023 | 6 | 2023 |
| QSRR models for predicting the retention indices of VOCs in different datasets using an efficient variable selection method coupled with artificial neural network modeling: ANN … Z Mozafari, M Arab Chamjangali, M Arashi, N Goudarzi Journal of the Iranian Chemical Society 19 (6), 2617-2630, 2022 | 5 | 2022 |
| Application of the LAD-LASSO as a dimensional reduction technique in the ANN-based QSAR study: Discovery of potent inhibitors using molecular docking simulation Z Mozafari, MA Chamjangali, M Arashi, N Goudarzi Chemometrics and Intelligent Laboratory Systems 222, 104510, 2022 | 5 | 2022 |
| The efficiency of ligand–receptor interaction information alone as new descriptors in QSAR modeling via random forest artificial neural network Z Mozafari, M Arab Chamjangali, M Beglari, R Doosti Chemical Biology & Drug Design 96 (2), 812-824, 2020 | 3 | 2020 |
| Suggestion of active 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents using predictive QSAR model based on the … Z Mozafari, MA Chamjangali, M Arashi, N Goudarzi SAR and QSAR in Environmental Research 32 (11), 863-888, 2021 | 2 | 2021 |
| LM-ANN-based QSAR model for the prediction of pEC50 for a set of potent NNRTI using the mixture of ligand–receptor interaction information and drug-like indexes M Beglari, N Goudarzi, D Shahsavani, M Arab Chamjangali, Z Mozafari Network Modeling Analysis in Health Informatics and Bioinformatics 9 (1), 53, 2020 | | 2020 |
Mansour Arab ChamjangaliProfessor of Analytical Chemistry, College of Chemistry, Shahrood University of Technology, ShahroodVerified email at shahroodut.ac.ir
