Literature DB >> 27467085

Structure-Based Pharmacophores for Virtual Screening.

Martin Löwer1, Ewgenij Proschak2.   

Abstract

Pharmacophores describe the spatial arrangement of essential interactions in a receptor-ligand complex. Although highly established in ligand-based virtual screening, the application of pharmacophores for in absence of a ligand is more sophisticated. This article summarizes the recent approaches to derive and evaluate pharmacophore models using only limited information (e.g. a homology model of the binding site). A range of different methodologies including geometrical and/or potential-based methods and successes in the application to virtual screening problems are described. Advantages and current limitations of the state-of-the-art methods and future perspectives for development are discussed in this publication.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Molecular modeling; Pharmacophore; Structure-based drug design; Virtual screening

Year:  2011        PMID: 27467085     DOI: 10.1002/minf.201100007

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  7 in total

1.  AutoSite: an automated approach for pseudo-ligands prediction-from ligand-binding sites identification to predicting key ligand atoms.

Authors:  Pradeep Anand Ravindranath; Michel F Sanner
Journal:  Bioinformatics       Date:  2016-06-26       Impact factor: 6.937

2.  Development of purely structure-based pharmacophores for the topoisomerase I-DNA-ligand binding pocket.

Authors:  Malgorzata N Drwal; Keli Agama; Yves Pommier; Renate Griffith
Journal:  J Comput Aided Mol Des       Date:  2013-12-01       Impact factor: 3.686

Review 3.  Computer-aided design of amino acid-based therapeutics: a review.

Authors:  Tayebeh Farhadi; Seyed MohammadReza Hashemian
Journal:  Drug Des Devel Ther       Date:  2018-05-14       Impact factor: 4.162

Review 4.  Chalcone Derivatives: Promising Starting Points for Drug Design.

Authors:  Marcelo N Gomes; Eugene N Muratov; Maristela Pereira; Josana C Peixoto; Lucimar P Rosseto; Pedro V L Cravo; Carolina H Andrade; Bruno J Neves
Journal:  Molecules       Date:  2017-07-25       Impact factor: 4.411

5.  Developing an effective polarizable bond method for small molecules with application to optimized molecular docking.

Authors:  Guanfu Duan; Changge Ji; John Z H Zhang
Journal:  RSC Adv       Date:  2020-04-20       Impact factor: 4.036

6.  Inhibiting Helicobacter pylori HtrA protease by addressing a computationally predicted allosteric ligand binding site.

Authors:  Anna Maria Perna; Felix Reisen; Thomas P Schmidt; Tim Geppert; Max Pillong; Martin Weisel; Benjamin Hoy; Philip C Simister; Stephan M Feller; Silja Wessler; Gisbert Schneider
Journal:  Chem Sci       Date:  2014-06-30       Impact factor: 9.825

7.  Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands.

Authors:  Mubarak A Alamri; Mohammed A Alamri
Journal:  Bioinformation       Date:  2019-09-10
  7 in total

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