Literature DB >> 14697771

Pharmacophore identification and 3D-QSAR studies in N-(2-benzoyl phenyl)-L-tyrosines as PPAR gamma agonists.

Lalit Rathi1, Sushil K Kashaw, Anshuman Dixit, Gyanendra Pandey, Anil K Saxena.   

Abstract

The identification of pharmacophore and three dimensional quantitative structure-activity studies have been performed on a set of N-(2-Benzoylphenyl)-L-tyrosine for their PPARgamma agonist activity by using the logico-structural based software Apex 3D-which describes the properties and distribution of primary and secondary biophore sites in the three dimensional space. Among several models, two models of comparable probability were selected on the basis of R(2)>0.60, chance </=0.04, size <4, match >0.20. These models showed a good correlation between the observed and predicted biological activity both for training and test sets.

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Year:  2004        PMID: 14697771     DOI: 10.1016/j.bmc.2003.10.032

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  3 in total

1.  Pharmacophore modeling and parallel screening for PPAR ligands.

Authors:  Patrick Markt; Daniela Schuster; Johannes Kirchmair; Christian Laggner; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2007-10-25       Impact factor: 3.686

2.  Identification of novel peroxisome proliferator-activated receptor-gamma (PPARγ) agonists using molecular modeling method.

Authors:  Veronica M W Gee; Fiona S L Wong; Lalitha Ramachandran; Gautam Sethi; Alan Prem Kumar; Chun Wei Yap
Journal:  J Comput Aided Mol Des       Date:  2014-08-29       Impact factor: 3.686

3.  Novel QSAR Models for Molecular Initiating Event Modeling in Two Intersecting Adverse Outcome Pathways Based Pulmonary Fibrosis Prediction for Biocidal Mixtures.

Authors:  Myungwon Seo; Chong Hak Chae; Yuno Lee; Ha Ryong Kim; Jongwoon Kim
Journal:  Toxics       Date:  2021-03-16
  3 in total

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