Literature DB >> 1899453

On the optimization of hydrophobic and hydrophilic substituent interactions of 2,4-diamino-5-(substituted-benzyl)pyrimidines with dihydrofolate reductase.

C D Selassie1, R L Li, M Poe, C Hansch.   

Abstract

The inhibition constants (Kiapp) were obtained from the action of 68 2,4-diamino-5-(substituted-benzyl)pyrimidines on dihydrofolate reductase from an Escherichia coli strain MB 1428. Subsequently, these results were used to formulate appropriate quantitative structure-activity relationships (QSAR). Once again these equations emphasize the paramount importance of steric/dispersion factors in enhancing antibacterial potency. Hydrophobicity also plays a role, albeit a minor one. Comparisons with the QSAR obtained versus prokaryotic dihydrofolate reductase (DHFR) demonstrate subtle differences in binding behavior between meta and para substituents which may be effectively maximized in the design of more efficacious and selective antibacterial agents. The bacterial and avian QSAR equations can be used to calculate selectivity indices for trimethoprim, tetroxoprim, and two other specially designed 2,4-diamino-5-(substituted-benzyl)pyrimidines.

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Year:  1991        PMID: 1899453     DOI: 10.1021/jm00105a008

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.  On the interpretation and interpretability of quantitative structure-activity relationship models.

Authors:  Rajarshi Guha
Journal:  J Comput Aided Mol Des       Date:  2008-09-11       Impact factor: 3.686

3.  Linking High-Throughput Screens to Identify MoAs and Novel Inhibitors of Mycobacterium tuberculosis Dihydrofolate Reductase.

Authors:  John P Santa Maria; Yumi Park; Lihu Yang; Nicholas Murgolo; Michael D Altman; Paul Zuck; Greg Adam; Chad Chamberlin; Peter Saradjian; Peter Dandliker; Helena I M Boshoff; Clifton E Barry; Charles Garlisi; David B Olsen; Katherine Young; Meir Glick; Elliott Nickbarg; Peter S Kutchukian
Journal:  ACS Chem Biol       Date:  2017-08-29       Impact factor: 5.100

4.  Correlation of trimethoprim and brodimoprim physicochemical and lipid membrane interaction properties with their accumulation in human neutrophils.

Authors:  M Fresta; P M Furneri; E Mezzasalma; V M Nicolosi; G Puglisi
Journal:  Antimicrob Agents Chemother       Date:  1996-12       Impact factor: 5.191

5.  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

6.  An approximate but efficient method to calculate free energy trends by computer simulation: application to dihydrofolate reductase-inhibitor complexes.

Authors:  P R Gerber; A E Mark; W F van Gunsteren
Journal:  J Comput Aided Mol Des       Date:  1993-06       Impact factor: 3.686

Review 7.  Trimethoprim and other nonclassical antifolates an excellent template for searching modifications of dihydrofolate reductase enzyme inhibitors.

Authors:  Agnieszka Wróbel; Karolina Arciszewska; Dawid Maliszewski; Danuta Drozdowska
Journal:  J Antibiot (Tokyo)       Date:  2019-10-02       Impact factor: 2.649

8.  Trimethoprim: An Old Antibacterial Drug as a Template to Search for New Targets. Synthesis, Biological Activity and Molecular Modeling Study of Novel Trimethoprim Analogs.

Authors:  Agnieszka Wróbel; Dawid Maliszewski; Maciej Baradyn; Danuta Drozdowska
Journal:  Molecules       Date:  2019-12-27       Impact factor: 4.411

  8 in total

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