Literature DB >> 26404453

A new paradigm for navigating compound property related drug attrition.

Patrick Barton1, Robert J Riley2.   

Abstract

Improving the efficiency of drug discovery remains a major focus for the pharmaceutical industry. Toxicity accounts for 90% of withdrawals and major early-stage terminations relate to suboptimal efficacy and safety. Traditional oral drug space is well defined with respect to physicochemical properties and ADMET risks but increased focus on ligand-lipophilicity efficiency, maximizing enthalpy contributions and new target classes challenge this paradigm. A hybrid space has been identified that combines physical properties and key interactions attributable to drug transporters. A novel algorithm is proposed that incorporates drug-transporter interactions and its utility evaluated against popular ligand efficiency indices. Simply reducing the bulk properties of compounds can exchange one problem for another and creates high-risk areas that challenge the successful delivery from a balanced portfolio.
Copyright © 2015. Published by Elsevier Ltd.

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Year:  2015        PMID: 26404453     DOI: 10.1016/j.drudis.2015.09.010

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  5 in total

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Journal:  Nat Rev Drug Discov       Date:  2021-07-13       Impact factor: 84.694

Review 2.  Translating Knowledge Into Therapy for Acute Kidney Injury.

Authors:  Mark de Caestecker; Raymond Harris
Journal:  Semin Nephrol       Date:  2018-01       Impact factor: 5.299

3.  Evaluation of the Relevance of DILI Predictive Hypotheses in Early Drug Development: Review of In Vitro Methodologies vs BDDCS Classification.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Toxicol Res (Camb)       Date:  2018-04-18       Impact factor: 3.524

4.  Extending in Silico Protein Target Prediction Models to Include Functional Effects.

Authors:  Lewis H Mervin; Avid M Afzal; Lars Brive; Ola Engkvist; Andreas Bender
Journal:  Front Pharmacol       Date:  2018-06-11       Impact factor: 5.810

5.  Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge.

Authors:  Zhaoping Xiong; Minji Jeon; Robert J Allaway; Jaewoo Kang; Donghyeon Park; Jinhyuk Lee; Hwisang Jeon; Miyoung Ko; Hualiang Jiang; Mingyue Zheng; Aik Choon Tan; Xindi Guo; Kristen K Dang; Alex Tropsha; Chana Hecht; Tirtha K Das; Heather A Carlson; Ruben Abagyan; Justin Guinney; Avner Schlessinger; Ross Cagan
Journal:  PLoS Comput Biol       Date:  2021-09-14       Impact factor: 4.779

  5 in total

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