Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters-Reference-Cited by-同舟云学术

Selective Fusion of Heterogeneous Classifiers for Predicting Substrates of Membrane Transporters

Published:2017-03-06 Issue:3 Volume:57 Page:594-607
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Shaikh Naeem¹,Sharma Mahesh¹,Garg Prabha¹^ORCID

Affiliation:

1. Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), S. A. S. Nagar, Mohali, Punjab-160062, India

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6b00508

Reference46 articles.

1. Membrane transporters in drug development

2. Emerging Transporters of Clinical Importance: An Update From the International Transporter Consortium

3. Transporters and Drug-Drug Interactions: Important Determinants of Drug Disposition and Effects

4. Computational Models for Predicting Interactions with Membrane Transporters

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Proteochemometric modeling strengthens the role of Q299 for GABA transporter subtype selectivity;2024-08-16

2. Novel naphthoquinone-1H-1,2,3-triazole hybrids: Design, synthesis and evaluation as inductors of ROS-mediated apoptosis in the MCF-7 cells;Bioorganic & Medicinal Chemistry;2024-03

3. In Silico prediction of inhibitors for multiple transporters via machine learning methods;Molecular Informatics;2024-02-06

4. Computational Chemistry in Structure-Based Solute Carrier Transporter Drug Design: Recent Advances and Future Perspectives;Journal of Chemical Information and Modeling;2024-01-31

5. Machine learning models based on residue interaction network for ABCG2 transportable compounds recognition;Environmental Pollution;2023-11