Molecular modeling study on chemically diverse series of cyclooxygenase-2 selective inhibitors: generation of predictive pharmacophore model using Catalyst-Reference-Cited by-同舟云学术

Molecular modeling study on chemically diverse series of cyclooxygenase-2 selective inhibitors: generation of predictive pharmacophore model using Catalyst

Published:2008-07-30 Issue:11 Volume:14 Page:1087-1099
ISSN:1610-2940
Container-title:Journal of Molecular Modeling
language:en
Short-container-title:J Mol Model

Author:

Chopra Madhu,Gupta Ruby,Gupta Swati,Saluja Daman

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Catalysis

Link

http://link.springer.com/content/pdf/10.1007/s00894-008-0350-8.pdf

Reference70 articles.

1. Stoehlmacher J, Lenz H-J (2003) Sem Oncol 30(3), Suppl. 6:10–16

2. Kim HJ, Chae CH, Yi KY, Park KL, Sung-eun Y (2004) Bioorg Med Chem 12:1629–1641

3. Holtzman MJ, Turk J, Shornick LP (1992) J Biol Chem 267:21438–21445

4. Michaux C, de Leval X, Julemont F, Dogne JM, Pirotte B, Durant F (2006) Eur J Med Chem 41:1446–1455

5. Lanza FL, Scand J (1989) Gastroenterol 163(Suppl):24–31

Cited by 23 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. Discovery of Potential Inhibitors of CDK1 by Integrating Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation Studies, and Evaluation of Their Inhibitory Activity;ACS Omega;2024-09-13

2. LSD1-Based Reversible Inhibitors Virtual Screening and Binding Mechanism Computational Study;Molecules;2023-07-10

3. Pharmacophore-based virtual screening of ZINC database, molecular modeling and designing new derivatives as potential HDAC6 inhibitors;Molecular Diversity;2022-10-10

4. Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery;Current Topics in Medicinal Chemistry;2022-08

5. Application of per-residue energy decomposition to identify the set of amino acids critical for in silico prediction of COX-2 inhibitory activity;Heliyon;2020-10