Literature DB >> 23316903

Quantitative structure-activity relationship models that stand the test of time.

Andrew M Davis1, David J Wood.   

Abstract

The pharmaceutical industry is in a period of intense change. While this has many drivers, attrition through the development process continues to be an important pressure. The emerging definitions of "compound quality" that are based on retrospective analyses of developmental attrition have highlighted a new direction for medicinal chemistry and the paradigm of "quality at the point of design". The time has come for retrospective analyses to catalyze prospective action. Quality at the point of design places pressure on the quality of our predictive models. Empirical QSAR models when built with care provide true predictive control, but their accuracy and precision can be improved. Here we describe AstraZeneca's experience of automation in QSAR model building and validation, and how an informatics system can provide a step-change in predictive power to project design teams, if they choose to use it.

Mesh:

Year:  2013        PMID: 23316903     DOI: 10.1021/mp300466n

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  3 in total

1.  Development of a pharmacophore for cruzain using oxadiazoles as virtual molecular probes: quantitative structure-activity relationship studies.

Authors:  Anacleto S de Souza; Marcelo T de Oliveira; Adriano D Andricopulo
Journal:  J Comput Aided Mol Des       Date:  2017-08-09       Impact factor: 3.686

2.  QSAR workbench: automating QSAR modeling to drive compound design.

Authors:  Richard Cox; Darren V S Green; Christopher N Luscombe; Noj Malcolm; Stephen D Pickett
Journal:  J Comput Aided Mol Des       Date:  2013-04-25       Impact factor: 3.686

3.  Structure-Affinity Relationships and Structure-Kinetic Relationships of 1,2-Diarylimidazol-4-carboxamide Derivatives as Human Cannabinoid 1 Receptor Antagonists.

Authors:  Lizi Xia; Henk de Vries; Eelke B Lenselink; Julien Louvel; Michael J Waring; Leifeng Cheng; Sara Pahlén; Maria J Petersson; Peter Schell; Roine I Olsson; Laura H Heitman; Robert J Sheppard; Adriaan P IJzerman
Journal:  J Med Chem       Date:  2017-11-21       Impact factor: 7.446

  3 in total

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