Literature DB >> 21376136

In silico repositioning of approved drugs for rare and neglected diseases.

Sean Ekins1, Antony J Williams, Matthew D Krasowski, Joel S Freundlich.   

Abstract

One approach to speed up drug discovery is to examine new uses for existing approved drugs, so-called 'drug repositioning' or 'drug repurposing', which has become increasingly popular in recent years. Analysis of the literature reveals many examples of US Food and Drug Administration-approved drugs that are active against multiple targets (also termed promiscuity) that can also be used to therapeutic advantage for repositioning for other neglected and rare diseases. Using proof-of-principle examples, we suggest here that with current in silico technologies and databases of the structures and biological activities of chemical compounds (drugs) and related data, as well as close integration with in vitro screening data, improved opportunities for drug repurposing will emerge for neglected or rare/orphan diseases.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21376136     DOI: 10.1016/j.drudis.2011.02.016

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


  80 in total

1.  Repurposing the Dihydropyridine Calcium Channel Inhibitor Nicardipine as a Nav1.8 Inhibitor In Vivo for Pitt Hopkins Syndrome.

Authors:  Sean Ekins; Ana C Puhl; Audrey Davidow
Journal:  Pharm Res       Date:  2020-06-11       Impact factor: 4.200

Review 2.  Déjà vu: Stimulating open drug discovery for SARS-CoV-2.

Authors:  Sean Ekins; Melina Mottin; Paulo R P S Ramos; Bruna K P Sousa; Bruno Junior Neves; Daniel H Foil; Kimberley M Zorn; Rodolpho C Braga; Megan Coffee; Christopher Southan; Ana C Puhl; Carolina Horta Andrade
Journal:  Drug Discov Today       Date:  2020-04-19       Impact factor: 7.851

3.  FDA approved drugs complexed to their targets: evaluating pose prediction accuracy of docking protocols.

Authors:  Mohammed H Bohari; G Narahari Sastry
Journal:  J Mol Model       Date:  2012-05-08       Impact factor: 1.810

4.  Orphan drugs for rare diseases: is it time to revisit their special market access status?

Authors:  Steven Simoens; David Cassiman; Marc Dooms; Eline Picavet
Journal:  Drugs       Date:  2012-07-30       Impact factor: 9.546

5.  Repurposing of known drugs for leishmaniasis treatment using bioinformatic predictions, in vitro validations and pharmacokinetic simulations.

Authors:  Christian Bustamante; Rodrigo Ochoa; Claudia Asela; Carlos Muskus
Journal:  J Comput Aided Mol Des       Date:  2019-10-14       Impact factor: 3.686

6.  Finding promiscuous old drugs for new uses.

Authors:  Sean Ekins; Antony J Williams
Journal:  Pharm Res       Date:  2011-05-24       Impact factor: 4.200

7.  Identification of novel activators of constitutive androstane receptor from FDA-approved drugs by integrated computational and biological approaches.

Authors:  Caitlin Lynch; Yongmei Pan; Linhao Li; Stephen S Ferguson; Menghang Xia; Peter W Swaan; Hongbing Wang
Journal:  Pharm Res       Date:  2012-10-23       Impact factor: 4.200

Review 8.  Shifting from the single to the multitarget paradigm in drug discovery.

Authors:  José L Medina-Franco; Marc A Giulianotti; Gregory S Welmaker; Richard A Houghten
Journal:  Drug Discov Today       Date:  2013-01-20       Impact factor: 7.851

9.  Computer-aided discovery of two novel chalcone-like compounds active and selective against Leishmania infantum.

Authors:  Marcelo N Gomes; Laura M Alcântara; Bruno J Neves; Cleber C Melo-Filho; Lucio H Freitas-Junior; Carolina B Moraes; Rui Ma; Scott G Franzblau; Eugene Muratov; Carolina Horta Andrade
Journal:  Bioorg Med Chem Lett       Date:  2017-04-04       Impact factor: 2.823

10.  Drug-target interaction prediction by integrating chemical, genomic, functional and pharmacological data.

Authors:  Fan Yang; Jinbo Xu; Jianyang Zeng
Journal:  Pac Symp Biocomput       Date:  2014
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