Literature DB >> 27046190

Impact of Binding Site Comparisons on Medicinal Chemistry and Rational Molecular Design.

Christiane Ehrt1, Tobias Brinkjost1,2, Oliver Koch1.   

Abstract

Modern rational drug design not only deals with the search for ligands binding to interesting and promising validated targets but also aims to identify the function and ligands of yet uncharacterized proteins having impact on different diseases. Additionally, it contributes to the design of inhibitors with distinct selectivity patterns and the prediction of possible off-target effects. The identification of similarities between binding sites of various proteins is a useful approach to cope with those challenges. The main scope of this perspective is to describe applications of different protein binding site comparison approaches to outline their applicability and impact on molecular design. The article deals with various substantial application domains and provides some outstanding examples to show how various binding site comparison methods can be applied to promote in silico drug design workflows. In addition, we will also briefly introduce the fundamental principles of different protein binding site comparison methods.

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Year:  2016        PMID: 27046190     DOI: 10.1021/acs.jmedchem.6b00078

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


  22 in total

1.  A benchmark driven guide to binding site comparison: An exhaustive evaluation using tailor-made data sets (ProSPECCTs).

Authors:  Christiane Ehrt; Tobias Brinkjost; Oliver Koch
Journal:  PLoS Comput Biol       Date:  2018-11-08       Impact factor: 4.475

2.  Binding site characterization - similarity, promiscuity, and druggability.

Authors:  Christiane Ehrt; Tobias Brinkjost; Oliver Koch
Journal:  Medchemcomm       Date:  2019-06-06       Impact factor: 3.597

Review 3.  Insights into Computational Drug Repurposing for Neurodegenerative Disease.

Authors:  Manish D Paranjpe; Alice Taubes; Marina Sirota
Journal:  Trends Pharmacol Sci       Date:  2019-07-17       Impact factor: 14.819

4.  Binding site matching in rational drug design: algorithms and applications.

Authors:  Misagh Naderi; Jeffrey Mitchell Lemoine; Rajiv Gandhi Govindaraj; Omar Zade Kana; Wei Pan Feinstein; Michal Brylinski
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

5.  CAVIAR: a method for automatic cavity detection, description and decomposition into subcavities.

Authors:  Jean-Rémy Marchand; Bernard Pirard; Peter Ertl; Finton Sirockin
Journal:  J Comput Aided Mol Des       Date:  2021-05-29       Impact factor: 3.686

Review 6.  Current status and future prospects for enabling chemistry technology in the drug discovery process.

Authors:  Stevan W Djuric; Charles W Hutchins; Nari N Talaty
Journal:  F1000Res       Date:  2016-09-30

7.  Large-scale computational drug repositioning to find treatments for rare diseases.

Authors:  Rajiv Gandhi Govindaraj; Misagh Naderi; Manali Singha; Jeffrey Lemoine; Michal Brylinski
Journal:  NPJ Syst Biol Appl       Date:  2018-03-13

8.  On the Integration of In Silico Drug Design Methods for Drug Repurposing.

Authors:  Eric March-Vila; Luca Pinzi; Noé Sturm; Annachiara Tinivella; Ola Engkvist; Hongming Chen; Giulio Rastelli
Journal:  Front Pharmacol       Date:  2017-05-23       Impact factor: 5.810

9.  A simple mathematical approach to the analysis of polypharmacology and polyspecificity data.

Authors:  Gerry Maggiora; Vijay Gokhale
Journal:  F1000Res       Date:  2017-06-06

10.  Exploring protein hotspots by optimized fragment pharmacophores.

Authors:  Dávid Bajusz; Warren S Wade; Grzegorz Satała; Andrzej J Bojarski; Janez Ilaš; Jessica Ebner; Florian Grebien; Henrietta Papp; Ferenc Jakab; Alice Douangamath; Daren Fearon; Frank von Delft; Marion Schuller; Ivan Ahel; Amanda Wakefield; Sándor Vajda; János Gerencsér; Péter Pallai; György M Keserű
Journal:  Nat Commun       Date:  2021-05-27       Impact factor: 14.919

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