Literature DB >> 26743596

In silico methods to address polypharmacology: current status, applications and future perspectives.

Antonio Lavecchia1, Carmen Cerchia2.   

Abstract

Polypharmacology, a new paradigm in drug discovery that focuses on multi-target drugs (MTDs), has potential application for drug repurposing, the process of finding new uses for existing approved drugs, prediction of off-target toxicities and rational design of MTDs. In this scenario, computational strategies have demonstrated great potential in predicting polypharmacology and in facilitating drug repurposing. Here, we provide a comprehensive overview of various computational approaches that enable the prediction and analysis of in vitro and in vivo drug-response phenotypes and outline their potential for drug discovery. We give an outlook on the latest advances in rational design of MTDs and discuss possible future directions of algorithm development in this field.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26743596     DOI: 10.1016/j.drudis.2015.12.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  53 in total

1.  Validation strategies for target prediction methods.

Authors:  Neann Mathai; Ya Chen; Johannes Kirchmair
Journal:  Brief Bioinform       Date:  2020-05-21       Impact factor: 11.622

2.  Computer-Aided Selective Optimization of Side Activities of Talinolol.

Authors:  Kerstin Hiesinger; Jan S Kramer; Janosch Achenbach; Daniel Moser; Julia Weber; Sandra K Wittmann; Christophe Morisseau; Carlo Angioni; Gerd Geisslinger; Astrid S Kahnt; Astrid Kaiser; Anna Proschak; Dieter Steinhilber; Denys Pogoryelov; Karen Wagner; Bruce D Hammock; Ewgenij Proschak
Journal:  ACS Med Chem Lett       Date:  2019-05-29       Impact factor: 4.345

3.  Cluster Analysis of Medicinal Plants and Targets Based on Multipartite Network.

Authors:  Namgil Lee; Hojin Yoo; Heejung Yang
Journal:  Biomolecules       Date:  2021-04-08

Review 4.  Plant Chemical Genetics: From Phenotype-Based Screens to Synthetic Biology.

Authors:  Wim Dejonghe; Eugenia Russinova
Journal:  Plant Physiol       Date:  2017-03-08       Impact factor: 8.340

5.  Exploring the Role of N6-Substituents in Potent Dual Acting 5'-C-Ethyltetrazolyladenosine Derivatives: Synthesis, Binding, Functional Assays, and Antinociceptive Effects in Mice ∇.

Authors:  Riccardo Petrelli; Mirko Scortichini; Sonja Kachler; Serena Boccella; Carmen Cerchia; Ilaria Torquati; Fabio Del Bello; Daniela Salvemini; Ettore Novellino; Livio Luongo; Sabatino Maione; Kenneth A Jacobson; Antonio Lavecchia; Karl-Norbert Klotz; Loredana Cappellacci
Journal:  J Med Chem       Date:  2017-05-05       Impact factor: 7.446

6.  Systematic Data Mining Reveals Synergistic H3R/MCHR1 Ligands.

Authors:  David Schaller; Stefanie Hagenow; Gina Alpert; Alexandra Naß; Robert Schulz; Marcel Bermudez; Holger Stark; Gerhard Wolber
Journal:  ACS Med Chem Lett       Date:  2017-05-04       Impact factor: 4.345

7.  Deep learning improves prediction of drug-drug and drug-food interactions.

Authors:  Jae Yong Ryu; Hyun Uk Kim; Sang Yup Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-16       Impact factor: 11.205

8.  Pharmacovigilance database search discloses ClC-K channels as a novel target of the AT1 receptor blockers valsartan and olmesartan.

Authors:  Paola Imbrici; Domenico Tricarico; Giuseppe Felice Mangiatordi; Orazio Nicolotti; Marcello Diego Lograno; Diana Conte; Antonella Liantonio
Journal:  Br J Pharmacol       Date:  2017-04-26       Impact factor: 8.739

9.  Molecular modeling and structure-based drug discovery approach reveals protein kinases as off-targets for novel anticancer drug RH1.

Authors:  Pramodkumar P Gupta; Virupaksha A Bastikar; Dalius Kuciauskas; Shanker Lal Kothari; Jonas Cicenas; Mindaugas Valius
Journal:  Med Oncol       Date:  2017-09-06       Impact factor: 3.064

Review 10.  Genie in a bottle: controlled release helps tame natural polypharmacology?

Authors:  Marcus Jc Long; Xuyu Liu; Yimon Aye
Journal:  Curr Opin Chem Biol       Date:  2019-03-23       Impact factor: 8.822

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