Literature DB >> 32309939

Augmenting Hit Identification by Virtual Screening Techniques in Small Molecule Drug Discovery.

Xin Cindy Yan, John M Sanders, Ying-Duo Gao, Matthew Tudor, Andrew M Haidle, Daniel J Klein, Antonella Converso, Charles A Lesburg, Yi Zang, Harold B Wood.   

Abstract

Two orthogonal approaches for hit identification in drug discovery are large-scale in vitro and in silico screening. In recent years, due to the emergence of new targets and a rapid increase in the size of the readily synthesizable chemical space, there is a growing emphasis on the integration of the two techniques to improve the hit finding efficiency. Here, we highlight three examples of drug discovery projects at Merck & Co., Inc., Kenilworth, NJ, USA in which different virtual screening (VS) techniques, each specifically tailored to leverage knowledge available for the target, were utilized to augment the selection of high-quality chemical matter for in vitro assays and to enhance the diversity and tractability of hits. Central to success is a fully integrated workflow combining in silico and experimental expertise at every stage of the hit identification process. We advocate that workflows encompassing VS as part of an integrated hit finding plan should be widely adopted to accelerate hit identification and foster cross-functional collaborations in modern drug discovery.

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Year:  2020        PMID: 32309939     DOI: 10.1021/acs.jcim.0c00113

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

Review 1.  Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: lessons from the pandemic and preparing for future health crises.

Authors:  Natesh Singh; Bruno O Villoutreix
Journal:  Comput Struct Biotechnol J       Date:  2021-04-26       Impact factor: 7.271

2.  A chemical probe inhibitor targeting STAT1 restricts cancer stem cell traits and angiogenesis in colorectal cancer.

Authors:  Pei-Hsuan Chou; Cong-Kai Luo; Niaz Wali; Wen-Yen Lin; Shang-Kok Ng; Chun-Hao Wang; Mingtao Zhao; Sheng-Wei Lin; Pei-Ming Yang; Pin-Jung Liu; Jiun-Jie Shie; Tzu-Tang Wei
Journal:  J Biomed Sci       Date:  2022-03-22       Impact factor: 8.410

  2 in total

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