Multitemplate Alignment Method for the Development of a Reliable 3D-QSAR Model for the Analysis of MMP3 Inhibitors-Reference-Cited by-同舟云学术

Multitemplate Alignment Method for the Development of a Reliable 3D-QSAR Model for the Analysis of MMP3 Inhibitors

Published:2009-06-12 Issue:7 Volume:49 Page:1715-1724
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Tuccinardi Tiziano¹,Ortore Gabriella¹,Santos M. Amélia¹,Marques Sérgio M.¹,Nuti Elisa¹,Rossello Armando¹,Martinelli Adriano¹

Affiliation:

1. Dipartimento di Scienze Farmaceutiche, Università di Pisa, via Bonanno 6, 56126 Pisa, Italy, Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, and Centro de Química Estrutural, Instituto Superior Técnico, Rua Rovisco Pais 1, 1049-001 Lisboa, Portugal

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/ci900118v

Reference53 articles.

1. Comparing the Quality and Predictiveness between 3D QSAR Models Obtained from Manual and Automated Alignment

2. 3D QSAR Studies on Protein Tyrosine Phosphatase 1B Inhibitors: Comparison of the Quality and Predictivity among 3D QSAR Models Obtained from Different Conformer-Based Alignments

3. Structure-based CoMFA and CoMSIA study of indolinone inhibitors of PDK1

4. 3D-QSAR Studies on DATAs and DAPYs for HIV-RT Inhibitors using CoMFA and CoMSIA Approaches

5. CoMFA 3D-QSAR Analysis of HIV-1 RT Nonnucleoside Inhibitors, TIBO Derivatives Based on Docking Conformation and Alignment

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