Structure-Based and Multiple Potential Three-Dimensional Quantitative Structure–Activity Relationship (SB-MP-3D-QSAR) for Inhibitor Design-Reference-Cited by-同舟云学术

Structure-Based and Multiple Potential Three-Dimensional Quantitative Structure–Activity Relationship (SB-MP-3D-QSAR) for Inhibitor Design

Published:2012-04-13 Issue:4 Volume:52 Page:996-1004
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Du Qi-Shi¹²,Gao Jing³,Wei Yu-Tuo⁴,Du Li-Qin⁴,Wang Shu-Qing⁵,Huang Ri-Bo¹⁴

Affiliation:

1. State Key Laboratory of Non-food Biomass Energy and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China

2. Gordon Life Science Institute, San Diego, California, United States

3. Department of Anesthesiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China

4. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Life Science and Biotechnology College, Guangxi University, Nanning, Guangxi, 530004, China

5. Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin 300070, China

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/ci300066y

Reference53 articles.

1. Three-Dimensional Quantitative Structure−Activity Relationship Modeling of Cocaine Binding by a Novel Human Monoclonal Antibody

2. Quantitative Structure−Activity Relationships for γδ T Cell Activation by Bisphosphonates

3. 3D QSAR studies of AChE inhibitors based on molecular docking scores and CoMFA

4. Fragment-based quantitative structure-activity relationship (FB-QSAR) for fragment-based drug design

5. Multiple field three dimensional quantitative structure–activity relationship (MF-3D-QSAR)

Cited by 9 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. Molecular docking and QSAR studies for modeling the antimalarial activity of hybrids 4-anilinoquinoline-triazines derivatives with the wild-type and mutant receptor pf-DHFR;Heliyon;2019-08

2. Efficient dynamic molecular simulation using QSAR model to know inhibition activity in breast cancer medicine;AIP Conference Proceedings;2017

3. Combined 3D-QSAR modeling and molecular docking study on spiro-derivatives as inhibitors of acetyl-CoA carboxylase;Medicinal Chemistry Research;2016-11-25

4. Combined 3D-QSAR and molecular docking study for identification of diverse natural products as potent Pf ENR inhibitors;Current Computer Aided-Drug Design;2015-11-24

5. 3D-QSAR (CoMFA, CoMFA-RG, CoMSIA) and molecular docking study of thienopyrimidine and thienopyridine derivatives to explore structural requirements for aurora-B kinase inhibition;European Journal of Pharmaceutical Sciences;2015-11