Literature DB >> 3882967

Use of physicochemical parameters in distance geometry and related three-dimensional quantitative structure-activity relationships: a demonstration using Escherichia coli dihydrofolate reductase inhibitors.

A K Ghose, G M Crippen.   

Abstract

In earlier distance geometry related three-dimensional quantitative structure-activity relationships (Ghose, A. K.; Crippen, G. M. J. Med. Chem. 1984, 27, 901) the interactions of the ligand atom or group with the receptor site were evaluated empirically by using mathematical optimization techniques, without considering their physicochemical properties. In the present work we show how to use various physicochemical parameters in our three-dimensional receptor mapping. We have developed a model for E. coli DHFR using the inhibition data of 25 pyrimidines and 14 triazines. It gave a correlation coefficient of 0.893 and standard deviation of 0.530. It successfully predicted the binding data of five pyrimidines and five triazines.

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Year:  1985        PMID: 3882967     DOI: 10.1021/jm00381a013

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  8 in total

1.  CoMFA analysis of tgDHFR and rlDHFR based on antifolates with 6-5 fused ring system using the all-orientation search (AOS) routine and a modified cross-validated r(2)-guided region selection (q(2)-GRS) routine and its initial application.

Authors:  Aleem Gangjee; Xin Lin; Lisa R Biondo; Sherry F Queener
Journal:  Bioorg Med Chem       Date:  2010-01-06       Impact factor: 3.641

2.  Distance geometry analysis of ligand binding to drug receptor sites.

Authors:  G M Donné-Op den Kelder
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

3.  Orientation and structure-building role of the water molecules bound at the contact surface of the dihydrofolate reductase-methotrexate complex.

Authors:  P Nagy
Journal:  J Comput Aided Mol Des       Date:  1988-04       Impact factor: 3.686

4.  A shape-based machine learning tool for drug design.

Authors:  A N Jain; T G Dietterich; R H Lathrop; D Chapman; R E Critchlow; B E Bauer; T A Webster; T Lozano-Perez
Journal:  J Comput Aided Mol Des       Date:  1994-12       Impact factor: 3.686

5.  Modelling steric effects in DNA-binding platinum(II)-am(m)ine complexes.

Authors:  E Yuriev; J D Orbell
Journal:  J Comput Aided Mol Des       Date:  1996-12       Impact factor: 3.686

6.  Improved quantitative structure-activity relationship models to predict antioxidant activity of flavonoids in chemical, enzymatic, and cellular systems.

Authors:  Andrei I Khlebnikov; Igor A Schepetkin; Nina G Domina; Liliya N Kirpotina; Mark T Quinn
Journal:  Bioorg Med Chem       Date:  2006-11-29       Impact factor: 3.641

Review 7.  Computational approaches to analyse and predict small molecule transport and distribution at cellular and subcellular levels.

Authors:  Kyoung Ah Min; Xinyuan Zhang; Jing-yu Yu; Gus R Rosania
Journal:  Biopharm Drug Dispos       Date:  2013-12-10       Impact factor: 1.627

8.  Machine vision-assisted analysis of structure-localization relationships in a combinatorial library of prospective bioimaging probes.

Authors:  Kerby Shedden; Qian Li; Fangyi Liu; Young Tae Chang; Gus R Rosania
Journal:  Cytometry A       Date:  2009-06       Impact factor: 4.355

  8 in total

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