Literature DB >> 21091654

Principles of early drug discovery.

J P Hughes1, S Rees, S B Kalindjian, K L Philpott.   

Abstract

Developing a new drug from original idea to the launch of a finished product is a complex process which can take 12-15 years and cost in excess of $1 billion. The idea for a target can come from a variety of sources including academic and clinical research and from the commercial sector. It may take many years to build up a body of supporting evidence before selecting a target for a costly drug discovery programme. Once a target has been chosen, the pharmaceutical industry and more recently some academic centres have streamlined a number of early processes to identify molecules which possess suitable characteristics to make acceptable drugs. This review will look at key preclinical stages of the drug discovery process, from initial target identification and validation, through assay development, high throughput screening, hit identification, lead optimization and finally the selection of a candidate molecule for clinical development.
© 2011 The Authors. British Journal of Pharmacology © 2011 The British Pharmacological Society.

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Mesh:

Year:  2011        PMID: 21091654      PMCID: PMC3058157          DOI: 10.1111/j.1476-5381.2010.01127.x

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN: 0007-1188            Impact factor:   8.739


  23 in total

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Authors: 
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Authors:  Amy N Abell; Jaime A Rivera-Perez; Bruce D Cuevas; Mark T Uhlik; Susan Sather; Nancy L Johnson; Suzanne K Minton; Jean M Lauder; Ann M Winter-Vann; Kazuhiro Nakamura; Terry Magnuson; Richard R Vaillancourt; Lynn E Heasley; Gary L Johnson
Journal:  Mol Cell Biol       Date:  2005-10       Impact factor: 4.272

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Review 8.  The promises and pitfalls of RNA-interference-based therapeutics.

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9.  Mutations in SCN9A, encoding a sodium channel alpha subunit, in patients with primary erythermalgia.

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  359 in total

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Review 4.  Zebrafish Models of Human Leukemia: Technological Advances and Mechanistic Insights.

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6.  Leveraging Big Data to Transform Drug Discovery.

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Review 7.  Screening Repurposing Libraries for Identification of Drugs with Novel Antifungal Activity.

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8.  Generation of Scalable Hepatic Micro-Tissues as a Platform for Toxicological Studies.

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9.  Shallow Representation Learning via Kernel PCA Improves QSAR Modelability.

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10.  Assessing Reproducibility in Amyloid β Research: Impact of Aβ Sources on Experimental Outcomes.

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