Literature DB >> 33062159

The Resurrection of Phenotypic Drug Discovery.

Wayne E Childers1, Khaled M Elokely1,2,3, Magid Abou-Gharbia1.   

Abstract

Prior to genetic mapping, the majority of drug discovery efforts involved phenotypic screening, wherein compounds were screened in either in vitro or in vivo models thought to mimic the disease state of interest. While never completely abandoning phenotypic approaches, the labor intensive nature of such tests encouraged the pharmaceutical industry to move away from them in favor of target-based drug discovery, which facilitated throughput and allowed for the efficient screening of large numbers of compounds. However, a consequence of reliance on target-based screening was an increased number of failures in clinical trials due to poor correlation between novel mechanistic targets and the actual disease state. As a result, the field has seen a recent resurrection in phenotypic drug discovery approaches. In this work, we highlight some recent phenotypic projects from our industrial past and in our current academic drug discovery environment that have provided encouraging results.

Year:  2020        PMID: 33062159      PMCID: PMC7549108          DOI: 10.1021/acsmedchemlett.0c00006

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.345


  74 in total

1.  A diarylquinoline drug active on the ATP synthase of Mycobacterium tuberculosis.

Authors:  Koen Andries; Peter Verhasselt; Jerome Guillemont; Hinrich W H Göhlmann; Jean-Marc Neefs; Hans Winkler; Jef Van Gestel; Philip Timmerman; Min Zhu; Ennis Lee; Peter Williams; Didier de Chaffoy; Emma Huitric; Sven Hoffner; Emmanuelle Cambau; Chantal Truffot-Pernot; Nacer Lounis; Vincent Jarlier
Journal:  Science       Date:  2004-12-09       Impact factor: 47.728

2.  Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research.

Authors:  Dean G Brown; Heike J Wobst
Journal:  J Med Chem       Date:  2019-07-18       Impact factor: 7.446

3.  2009 Edward E Smissman Award. Pharmaceutical "gold" from neurostabilizing agents: topiramate and successor molecules.

Authors:  Bruce E Maryanoff
Journal:  J Med Chem       Date:  2009-06-11       Impact factor: 7.446

Review 4.  How were new medicines discovered?

Authors:  David C Swinney; Jason Anthony
Journal:  Nat Rev Drug Discov       Date:  2011-06-24       Impact factor: 84.694

5.  The utility of target-based discovery.

Authors:  Glenn E Croston
Journal:  Expert Opin Drug Discov       Date:  2017-03-23       Impact factor: 6.098

Review 6.  Lysosomal Ca(2+) homeostasis: role in pathogenesis of lysosomal storage diseases.

Authors:  Emyr Lloyd-Evans; Frances M Platt
Journal:  Cell Calcium       Date:  2011-07-02       Impact factor: 6.817

Review 7.  Phenotypic screening in cancer drug discovery - past, present and future.

Authors:  John G Moffat; Joachim Rudolph; David Bailey
Journal:  Nat Rev Drug Discov       Date:  2014-07-18       Impact factor: 84.694

8.  The discovery of medicines for rare diseases.

Authors:  David C Swinney; Shuangluo Xia
Journal:  Future Med Chem       Date:  2014-06       Impact factor: 3.808

9.  Making It All Work: Functional Genomics and Reporter Gene Assays.

Authors:  Genevieve Welch; Robert Damoiseaux; Loren Miraglia
Journal:  Methods Mol Biol       Date:  2018

10.  The Academic Pill: How Academia Contributes to Curing Diseases.

Authors:  Marc Bickle
Journal:  SLAS Discov       Date:  2019-03       Impact factor: 3.341

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  5 in total

Review 1.  Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.

Authors:  Ernesto Diaz-Flores; Tim Meyer; Alexis Giorkallos
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

2.  Discovery of an Anion-Dependent Farnesyltransferase Inhibitor from a Phenotypic Screen.

Authors:  Marina Bukhtiyarova; Erica M Cook; Paula J Hancock; Alan W Hruza; Anthony W Shaw; Gregory C Adam; Richard J O Barnard; Philip M McKenna; M Katharine Holloway; Ian M Bell; Steve Carroll; Ivan Cornella-Taracido; Christopher D Cox; Peter S Kutchukian; David A Powell; Corey Strickland; B Wesley Trotter; Matthew Tudor; Scott Wolkenberg; Jing Li; David M Tellers
Journal:  ACS Med Chem Lett       Date:  2020-12-23       Impact factor: 4.345

3.  Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells.

Authors:  Shuyun He; Duancheng Zhao; Yanle Ling; Hanxuan Cai; Yike Cai; Jiquan Zhang; Ling Wang
Journal:  Front Pharmacol       Date:  2021-12-17       Impact factor: 5.810

4.  Synthesis of Pyridoxine-Derived Dimethylpyridinols Fused with Aminooxazole, Aminoimidazole, and Aminopyrrole.

Authors:  Bhuwan Prasad Awasthi; Hyunji Lee; Byeong-Seon Jeong
Journal:  Molecules       Date:  2022-03-23       Impact factor: 4.411

5.  Phenotypic screening of low molecular weight compounds is rich ground for repurposed, on-target drugs.

Authors:  Christopher A Lipinski; Andrew G Reaume
Journal:  Front Pharmacol       Date:  2022-08-08       Impact factor: 5.988

  5 in total

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