Literature DB >> 12773035

Novel dihydrofolate reductase inhibitors. Structure-based versus diversity-based library design and high-throughput synthesis and screening.

Pierre C Wyss1, Paul Gerber, Peter G Hartman, Christian Hubschwerlen, Hans Locher, Hans-Peter Marty, Martin Stahl.   

Abstract

Novel 2,4-diaminopyrimidines bearing N,N-disubstituted aminomethyl residues at the 5-position were designed as dihydrofolate reductase (DHFR) inhibitors. These compounds were obtained by treatment of 1-[(2,4-diamino-5-pyrimidinyl)methyl]pyridinium bromide with secondary amines in a polar solvent and in the presence of triethylamine at room temperature. The procedure was found to be very efficient and suitable for application in high-throughput synthesis. In addition, we found that high-throughput screening for enzymatic and in vitro antibacterial activity could be performed on crude reaction mixtures, thus avoiding any purification step. Over 1200 proprietary secondary amines were selected for high-throughput synthesis, based on structural and diversity-related criteria, and the resulting products were submitted to high-throughput screening. A greater number of hits, and significantly more active compounds, were obtained through structure-based library design than through diversity-based library design. Different classes of inhibitors of DHFR were identified in this way, including compounds derived from di-, tri-, and tetracyclic amines. In general, these products showed high activity against the enzymes derived from both TMP-sensitive and TMP-resistant Streptococcus pneumoniae. Some compounds possessed appreciable selectivity for the bacterial over the human enzyme, whereas other compounds were not at all selective. In most cases, active enzyme inhibitors also displayed antibacterial activity.

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Year:  2003        PMID: 12773035     DOI: 10.1021/jm020495y

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


  12 in total

Review 1.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

2.  Discovery of Potent and Selective Leads against Toxoplasma gondii Dihydrofolate Reductase via Structure-Based Design.

Authors:  Matthew E Welsch; Jian Zhou; Yueqiang Gao; Yunqing Yan; Gene Porter; Gautam Agnihotri; Yingjie Li; Henry Lu; Zhongguo Chen; Stephen B Thomas
Journal:  ACS Med Chem Lett       Date:  2016-09-17       Impact factor: 4.345

3.  Application of a novel in silico high-throughput screen to identify selective inhibitors for protein-protein interactions.

Authors:  Catherine Joce; Joshua A Stahl; Mitesh Shridhar; Mark R Hutchinson; Linda R Watkins; Peter O Fedichev; Hang Yin
Journal:  Bioorg Med Chem Lett       Date:  2010-07-30       Impact factor: 2.823

4.  Designing of potent anti-diabetic molecules by targeting SIK2 using computational approaches.

Authors:  Prajisha Jayaprakash; Jayashree Biswal; Raghu Rangaswamy; Jeyaraman Jeyakanthan
Journal:  Mol Divers       Date:  2022-06-21       Impact factor: 2.943

5.  TSCC: Two-Stage Combinatorial Clustering for virtual screening using protein-ligand interactions and physicochemical features.

Authors:  Daniel L Clinciu; Yen-Fu Chen; Cheng-Neng Ko; Chi-Chun Lo; Jinn-Moon Yang
Journal:  BMC Genomics       Date:  2010-12-02       Impact factor: 3.969

Review 6.  Significance and biological importance of pyrimidine in the microbial world.

Authors:  Vinita Sharma; Nitin Chitranshi; Ajay Kumar Agarwal
Journal:  Int J Med Chem       Date:  2014-03-23

7.  In silico Prediction, Characterization, Molecular Docking, and Dynamic Studies on Fungal SDRs as Novel Targets for Searching Potential Fungicides Against Fusarium Wilt in Tomato.

Authors:  Mohd Aamir; Vinay Kumar Singh; Manish Kumar Dubey; Mukesh Meena; Sarvesh Pratap Kashyap; Sudheer Kumar Katari; Ram Sanmukh Upadhyay; Amineni Umamaheswari; Surendra Singh
Journal:  Front Pharmacol       Date:  2018-10-22       Impact factor: 5.810

Review 8.  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

9.  High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations.

Authors:  Noriaki Okimoto; Noriyuki Futatsugi; Hideyoshi Fuji; Atsushi Suenaga; Gentaro Morimoto; Ryoko Yanai; Yousuke Ohno; Tetsu Narumi; Makoto Taiji
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

10.  An efficient computational method for calculating ligand binding affinities.

Authors:  Atsushi Suenaga; Noriaki Okimoto; Yoshinori Hirano; Kazuhiko Fukui
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

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