Literature DB >> 30196745

Screening Strategies and Methods for Better Off-Target Liability Prediction and Identification of Small-Molecule Pharmaceuticals.

Terry R Van Vleet1, Michael J Liguori1, James J Lynch2, Mohan Rao1, Scott Warder3.   

Abstract

Pharmaceutical discovery and development is a long and expensive process that, unfortunately, still results in a low success rate, with drug safety continuing to be a major impedance. Improved safety screening strategies and methods are needed to more effectively fill this critical gap. Recent advances in informatics are now making it possible to manage bigger data sets and integrate multiple sources of screening data in a manner that can potentially improve the selection of higher-quality drug candidates. Integrated screening paradigms have become the norm in Pharma, both in discovery screening and in the identification of off-target toxicity mechanisms during later-stage development. Furthermore, advances in computational methods are making in silico screens more relevant and suggest that they may represent a feasible option for augmenting the current screening paradigm. This paper outlines several fundamental methods of the current drug screening processes across Pharma and emerging techniques/technologies that promise to improve molecule selection. In addition, the authors discuss integrated screening strategies and provide examples of advanced screening paradigms.

Entities:  

Keywords:  computational toxicology; drug; drug safety; safety screening; toxicogenomics

Mesh:

Substances:

Year:  2018        PMID: 30196745     DOI: 10.1177/2472555218799713

Source DB:  PubMed          Journal:  SLAS Discov        ISSN: 2472-5552            Impact factor:   3.341


  5 in total

1.  Small molecule target identification using photo-affinity chromatography.

Authors:  Seung-Yong Seo; Timothy W Corson
Journal:  Methods Enzymol       Date:  2019-03-15       Impact factor: 1.600

Review 2.  Why 90% of clinical drug development fails and how to improve it?

Authors:  Duxin Sun; Wei Gao; Hongxiang Hu; Simon Zhou
Journal:  Acta Pharm Sin B       Date:  2022-02-11       Impact factor: 14.903

Review 3.  Repurposing drugs to treat cardiovascular disease in the era of precision medicine.

Authors:  Mena Abdelsayed; Eric J Kort; Stefan Jovinge; Mark Mercola
Journal:  Nat Rev Cardiol       Date:  2022-05-23       Impact factor: 49.421

Review 4.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

5.  Application of a High-Content Screening Assay Utilizing Primary Human Lung Fibroblasts to Identify Antifibrotic Drugs for Rapid Repurposing in COVID-19 Patients.

Authors:  John A Marwick; Richard J R Elliott; James Longden; Ashraff Makda; Nik Hirani; Kevin Dhaliwal; John C Dawson; Neil O Carragher
Journal:  SLAS Discov       Date:  2021-06-02       Impact factor: 3.341

  5 in total

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