Literature DB >> 23288298

Drug repositioning by structure-based virtual screening.

Dik-Lung Ma1, Daniel Shiu-Hin Chan, Chung-Hang Leung.   

Abstract

Approved drugs have favourable or validated pharmacokinetic properties and toxicological profiles, and the repositioning of existing drugs for new indications can potentially avoid expensive costs associated with early-stage testing of the hit compounds. In recent years, technological advances in virtual screening methodologies have allowed medicinal chemists to rapidly screen drug libraries for therapeutic activity against new biomolecular targets in a cost-effective manner. This review article outlines the basic principles and recent advances in structure-based virtual screening and highlights the powerful synergy of in silico techniques in drug repositioning as demonstrated in several recent reports.

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Year:  2013        PMID: 23288298     DOI: 10.1039/c2cs35357a

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  61 in total

1.  Systematic Testing of Belief-Propagation Estimates for Absolute Free Energies in Atomistic Peptides and Proteins.

Authors:  Rory M Donovan-Maiye; Christopher J Langmead; Daniel M Zuckerman
Journal:  J Chem Theory Comput       Date:  2017-12-22       Impact factor: 6.006

2.  Novel Development of Predictive Feature Fingerprints to Identify Chemistry-Based Features for the Effective Drug Design of SARS-CoV-2 Target Antagonists and Inhibitors Using Machine Learning.

Authors:  Kelvin Cooper; Christopher Baddeley; Bernie French; Katherine Gibson; James Golden; Thiam Lee; Sadrach Pierre; Brent Weiss; Jason Yang
Journal:  ACS Omega       Date:  2021-02-05

3.  Docking to multiple pockets or ligand fields for screening, activity prediction and scaffold hopping.

Authors:  Yu-Chen Chen; Max Totrov; Ruben Abagyan
Journal:  Future Med Chem       Date:  2014       Impact factor: 3.808

4.  Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest.

Authors:  Cheng Wang; Yingkai Zhang
Journal:  J Comput Chem       Date:  2016-11-17       Impact factor: 3.376

5.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

Review 6.  Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery.

Authors:  Nagasundaram Nagarajan; Edward K Y Yapp; Nguyen Quoc Khanh Le; Balu Kamaraj; Abeer Mohammed Al-Subaie; Hui-Yuan Yeh
Journal:  Biomed Res Int       Date:  2019-11-11       Impact factor: 3.411

Review 7.  Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing.

Authors:  Jiansong Fang; Andrew A Pieper; Ruth Nussinov; Garam Lee; Lynn Bekris; James B Leverenz; Jeffrey Cummings; Feixiong Cheng
Journal:  Med Res Rev       Date:  2020-07-13       Impact factor: 12.944

Review 8.  Ubiquitination Regulators Discovered by Virtual Screening for the Treatment of Cancer.

Authors:  Ying-Qi Song; Chun Wu; Ke-Jia Wu; Quan-Bin Han; Xiang-Min Miao; Dik-Lung Ma; Chung-Hang Leung
Journal:  Front Cell Dev Biol       Date:  2021-05-12

9.  Hit identification of IKKβ natural product inhibitor.

Authors:  Chung-Hang Leung; Daniel Shiu-Hin Chan; Ying-Wei Li; Wang-Fun Fong; Dik-Lung Ma
Journal:  BMC Pharmacol Toxicol       Date:  2013-01-07       Impact factor: 2.483

Review 10.  Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.

Authors:  Benjamin Wooden; Nicolas Goossens; Yujin Hoshida; Scott L Friedman
Journal:  Gastroenterology       Date:  2016-10-20       Impact factor: 33.883

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