Literature DB >> 12470283

History and evolution of the pharmacophore concept in computer-aided drug design.

Osman F Güner1.   

Abstract

With computer-aided drug design established as an integral part of the lead discovery and optimization process, pharmacophores have become a focal point for conceptualizing and understanding receptor-ligand interactions. In the structure-based design process, pharmacophores can be used to align molecules based on the three-dimensional arrangement of chemical features or to develop predictive models (e.g., 3D-QSAR) that correlate with the experimental activities of a given training set. Pharmacophores can be also used as search queries for retrieving potential leads from structural databases, for designing molecules with specific desired attributes, or as fingerprints for assessing similarity and diversity of molecules. This review article presents a historical perspective on the evolution and use of the pharmacophore concept in the pharmaceutical, biotechnology, and fragrances industry with published examples of how the technology has contributed and advanced the field.

Mesh:

Year:  2002        PMID: 12470283     DOI: 10.2174/1568026023392940

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  21 in total

1.  Design of e-pharmacophore models using compound fragments for the trans-sialidase of Trypanosoma cruzi: screening for novel inhibitor scaffolds.

Authors:  Bill R Miller; Adrian E Roitberg
Journal:  J Mol Graph Model       Date:  2013-08-16       Impact factor: 2.518

2.  Repurposing an old drug for a new use: glybenclamide exerts antiplatelet activity by interacting with the thromboxane A(2) receptor.

Authors:  Harold J Ting; Wallace J Murray; Fadi T Khasawneh
Journal:  Acta Pharmacol Sin       Date:  2010-02       Impact factor: 6.150

3.  Application of electron conformational-genetic algorithm approach to 1,4-dihydropyridines as calcium channel antagonists: pharmacophore identification and bioactivity prediction.

Authors:  Nazmiye Geçen; Emin Sarıpınar; Ersin Yanmaz; Kader Sahin
Journal:  J Mol Model       Date:  2011-03-31       Impact factor: 1.810

4.  Ensemble pharmacophore meets ensemble docking: a novel screening strategy for the identification of RIPK1 inhibitors.

Authors:  S M Fayaz; G K Rajanikant
Journal:  J Comput Aided Mol Des       Date:  2014-07-01       Impact factor: 3.686

5.  Pharmacophore-based virtual screening of catechol-o-methyltransferase (COMT) inhibitors to combat Alzheimer's disease.

Authors:  Chirag N Patel; John J Georrge; Krunal M Modi; Moksha B Narechania; Daxesh P Patel; Frank J Gonzalez; Himanshu A Pandya
Journal:  J Biomol Struct Dyn       Date:  2017-12-27

6.  In search of the representative pharmacophore hypotheses of the enzymatic proteome of Plasmodium falciparum: a multicomplex-based approach.

Authors:  Anu Manhas; Mohsin Y Lone; Prakash C Jha
Journal:  Mol Divers       Date:  2018-10-12       Impact factor: 2.943

7.  Development and NMR validation of minimal pharmacophore hypotheses for the generation of fragment libraries enriched in heparanase inhibitors.

Authors:  Rafael Gozalbes; Silvia Mosulén; Rodrigo J Carbajo; Antonio Pineda-Lucena
Journal:  J Comput Aided Mol Des       Date:  2009-05-07       Impact factor: 3.686

8.  Physical binding pocket induction for affinity prediction.

Authors:  James J Langham; Ann E Cleves; Russell Spitzer; Daniel Kirshner; Ajay N Jain
Journal:  J Med Chem       Date:  2009-10-08       Impact factor: 7.446

9.  Discovery and identification of PIM-1 kinase inhibitors through a hybrid screening approach.

Authors:  Mingfeng Shao; Yiming Yuan; Kun Yu; Kai Lei; Guonian Zhu; Lijuan Chen; Mingli Xiang
Journal:  Mol Divers       Date:  2014-02-12       Impact factor: 2.943

10.  SG1002 and Catenated Divalent Organic Sulfur Compounds as Promising Hydrogen Sulfide Prodrugs.

Authors:  Gabriel Gojon; Guillermo A Morales
Journal:  Antioxid Redox Signal       Date:  2020-06-11       Impact factor: 8.401

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