Literature DB >> 6809941

Comparison of the inhibition of Escherichia coli and Lactobacillus casei dihydrofolate reductase by 2,4-diamino-5-(substituted-benzyl)pyrimidines: quantitative structure-activity relationships, X-ray crystallography, and computer graphics in structure-activity analysis.

C Hansch, R Li, J M Blaney, R Langridge.   

Abstract

The inhibition constants (Kiapp) obtained from the action of 44 2,4-diamino-5-(substituted-benzyl)pyrimidines on dihydrofolate reductase (DHFR) from Escherichia coli and Lactobacillus casei bacteria are used to derive quantitative structure-activity relationships (QSAR). These equations bring out a number of differences in the DHFR which can be understood at the atomic level by studying color stereo computer graphics models constructed from the X-ray coordinates of the enzyme-inhibitor complexes. The combination of QSAR and X-ray crystallography interpreted via high-performance computer graphics offers a new level of sophistication to extend our understanding of enzyme-ligand interactions, which, when the crystallography is known, opens up a more scientific approach to drug development.

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Year:  1982        PMID: 6809941     DOI: 10.1021/jm00349a003

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


  10 in total

1.  Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.

Authors:  R D King; S Muggleton; R A Lewis; M J Sternberg
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-01       Impact factor: 11.205

2.  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

3.  Conformation and electrostatic potential surfaces of opiates: Relationship to µ- and λ-site binding.

Authors:  T P Lybrand; P A Kollman; V C Yu; W Sadée
Journal:  Pharm Res       Date:  1986-08       Impact factor: 4.200

4.  The discovery of indicator variables for QSAR using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

5.  A method for fast energy estimation and visualization of protein-ligand interaction.

Authors:  N Tomioka; A Itai; Y Iitaka
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

6.  In pursuit of virtual lead optimization: pruning ensembles of receptor structures for increased efficiency and accuracy during docking.

Authors:  Erin S D Bolstad; Amy C Anderson
Journal:  Proteins       Date:  2009-04

7.  In pursuit of virtual lead optimization: the role of the receptor structure and ensembles in accurate docking.

Authors:  Erin S D Bolstad; Amy C Anderson
Journal:  Proteins       Date:  2008-11-15

8.  Ligand binding studies, preliminary structure-activity relationship and detailed mechanistic characterization of 1-phenyl-6,6-dimethyl-1,3,5-triazine-2,4-diamine derivatives as inhibitors of Escherichia coli dihydrofolate reductase.

Authors:  Bharath Srinivasan; Sam Tonddast-Navaei; Jeffrey Skolnick
Journal:  Eur J Med Chem       Date:  2015-09-05       Impact factor: 6.514

9.  Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.

Authors:  J D Hirst; R D King; M J Sternberg
Journal:  J Comput Aided Mol Des       Date:  1994-08       Impact factor: 3.686

10.  Rational Design of Novel Allosteric Dihydrofolate Reductase Inhibitors Showing Antibacterial Effects on Drug-Resistant Escherichia coli Escape Variants.

Authors:  Bharath Srinivasan; João V Rodrigues; Sam Tonddast-Navaei; Eugene Shakhnovich; Jeffrey Skolnick
Journal:  ACS Chem Biol       Date:  2017-05-31       Impact factor: 5.100

  10 in total

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