2D QSAR Consensus Prediction for High-Throughput Virtual Screening. An Application to COX-2 Inhibition Modeling and Screening of the NCI Database-Reference-Cited by-同舟云学术

2D QSAR Consensus Prediction for High-Throughput Virtual Screening. An Application to COX-2 Inhibition Modeling and Screening of the NCI Database

Published:2003-10-23 Issue:1 Volume:44 Page:276-285
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Baurin Nicolas¹,Mozziconacci Jean-Christophe¹,Arnoult Eric¹,Chavatte Philippe¹,Marot Christophe¹,Morin-Allory Luc¹

Affiliation:

1. Institut de Chimie Organique et Analytique, UMR 6005, Université d'Orléans, BP 6759, F-45067 Orléans Cedex 2, France, and Institut de Chimie Pharmaceutique Albert Lespagnol, Université de Lille 2, BP 83, F-59006 Lille Cedex, France

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci0341565

Reference47 articles.

1. Chemogenomic approaches to drug discovery

2. A widely applicable set of descriptors

3. New insights into the role of COX 2 in inflammation

4. NS-398, a novel non-steroidal anti-inflammatory drug with potent analgesic and antipyretic effects, which causes minimal stomach lesions

5. Structural basis for selective inhibition of cyclooxygenase-2 by anti-inflammatory agents

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