Literature DB >> 34274565

Recent advances in drug repurposing using machine learning.

Fabio Urbina1, Ana C Puhl1, Sean Ekins2.   

Abstract

Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlight several applications for cancer using kinase inhibitors, Alzheimer's disease as well as COVID-19.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug discovery; Drug repurposing; Machine learning

Mesh：

Substances：

Year:  2021        PMID： 34274565      PMCID： PMC8671152          DOI： 10.1016/j.cbpa.2021.06.001

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN： 1367-5931            Impact factor:   8.822


  95 in total

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Journal:  Nat Rev Cancer       Date:  2007-01       Impact factor: 60.716

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3.  Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis.

Authors:  Sean Ekins; Takushi Kaneko; Christopher A Lipinski; Justin Bradford; Krishna Dole; Anna Spektor; Kellan Gregory; David Blondeau; Sylvia Ernst; Jeremy Yang; Nicko Goncharoff; Moses M Hohman; Barry A Bunin
Journal:  Mol Biosyst       Date:  2010-09-08

Review 4.  Properties of FDA-approved small molecule protein kinase inhibitors: A 2020 update.

Authors:  Robert Roskoski
Journal:  Pharmacol Res       Date:  2019-12-17       Impact factor: 7.658

5.  Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018.

Authors:  Olivier J Wouters; Martin McKee; Jeroen Luyten
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6.  Pharos: Collating protein information to shed light on the druggable genome.

Authors:  Dac-Trung Nguyen; Stephen Mathias; Cristian Bologa; Soren Brunak; Nicolas Fernandez; Anna Gaulton; Anne Hersey; Jayme Holmes; Lars Juhl Jensen; Anneli Karlsson; Guixia Liu; Avi Ma'ayan; Geetha Mandava; Subramani Mani; Saurabh Mehta; John Overington; Juhee Patel; Andrew D Rouillard; Stephan Schürer; Timothy Sheils; Anton Simeonov; Larry A Sklar; Noel Southall; Oleg Ursu; Dusica Vidovic; Anna Waller; Jeremy Yang; Ajit Jadhav; Tudor I Oprea; Rajarshi Guha
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

7.  Cell-Based High-Throughput Screening Protocol for Discovering Antiviral Inhibitors Against SARS-COV-2 Main Protease (3CLpro).

Authors:  Hussin A Rothan; Teow Chong Teoh
Journal:  Mol Biotechnol       Date:  2021-01-19       Impact factor: 2.695

8.  Drug repurposing screens reveal cell-type-specific entry pathways and FDA-approved drugs active against SARS-Cov-2.

Authors:  Mark Dittmar; Jae Seung Lee; Kanupriya Whig; Elisha Segrist; Minghua Li; Brinda Kamalia; Lauren Castellana; Kasirajan Ayyanathan; Fabian L Cardenas-Diaz; Edward E Morrisey; Rachel Truitt; Wenli Yang; Kellie Jurado; Kirandeep Samby; Holly Ramage; David C Schultz; Sara Cherry
Journal:  Cell Rep       Date:  2021-03-23       Impact factor: 9.423

9.  Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties.

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Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

10.  High-Throughput Screening for Drugs That Inhibit Papain-Like Protease in SARS-CoV-2.

Authors:  Emery Smith; Meredith E Davis-Gardner; Ruben D Garcia-Ordonez; Tu-Trinh Nguyen; Mitchell Hull; Emily Chen; Pierre Baillargeon; Louis Scampavia; Timothy Strutzenberg; Patrick R Griffin; Michael Farzan; Timothy P Spicer
Journal:  SLAS Discov       Date:  2020-10-10       Impact factor: 3.341
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  3 in total

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Authors:  Victor O Gawriljuk; Phyo Phyo Kyaw Zin; Ana C Puhl; Kimberley M Zorn; Daniel H Foil; Thomas R Lane; Brett Hurst; Tatyana Almeida Tavella; Fabio Trindade Maranhão Costa; Premkumar Lakshmanane; Jean Bernatchez; Andre S Godoy; Glaucius Oliva; Jair L Siqueira-Neto; Peter B Madrid; Sean Ekins
Journal:  J Chem Inf Model       Date:  2021-08-13       Impact factor: 6.162

2.  Defending Antiviral Cationic Amphiphilic Drugs That May Cause Drug-Induced Phospholipidosis.

Authors:  Thomas R Lane; Sean Ekins
Journal:  J Chem Inf Model       Date:  2021-09-13       Impact factor: 6.162

3.  Anti-Inflammatory Effects of Spiramycin in LPS-Activated RAW 264.7 Macrophages.

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  3 in total

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