Literature DB >> 19674816

Discovery of potential ZAP-70 kinase inhibitors: pharmacophore design, database screening and docking studies.

Ramadevi Sanam1, S Vadivelan, Sunita Tajne, Lakshmi Narasu, G Rambabu, Sarma A R P Jagarlapudi.   

Abstract

The best ZAP-70 inhibitor model consists of four-pharmacophore features, (1) one hydrogen bond acceptor, (2) one hydrogen bond donor (3) one hydrophobic aliphatic and (4) one hydrophobic aromatic features. This model was validated against 110 known ZAP-70 inhibitors with a correlation of 0.902 as well as enrichment factor of 1.61 against a maximum value of 2. This model picked 4094 hits from a database of 238,819 molecules while 358 molecules were indicated as highly active. Subsequently, docking studies were performed on the hits and novel series of potent leads were suggested based on the interactions energy between ZAP-70 and the putative inhibitors which validated not only the virtual screening potential of the model but also identified the possible new Chemotypes.

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Year:  2009        PMID: 19674816     DOI: 10.1016/j.ejmech.2009.07.018

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  2 in total

1.  Discovery of Diaminopyrimidine Carboxamide HPK1 Inhibitors as Preclinical Immunotherapy Tool Compounds.

Authors:  Brandon A Vara; Samuel M Levi; Abdelghani Achab; David A Candito; Xavier Fradera; Charles A Lesburg; Shuhei Kawamura; Brian M Lacey; Jongwon Lim; Joey L Methot; Zangwei Xu; Haiyan Xu; Dustin M Smith; Jennifer A Piesvaux; J Richard Miller; Mark Bittinger; Sheila H Ranganath; David J Bennett; Erin F DiMauro; Alexander Pasternak
Journal:  ACS Med Chem Lett       Date:  2021-03-19       Impact factor: 4.345

2.  Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors.

Authors:  Shalini John; Sundarapandian Thangapandian; Mahreen Arooj; Jong Chan Hong; Kwang Dong Kim; Keun Woo Lee
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

  2 in total

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