Literature DB >> 17059362

The drug development crisis: efficiency and safety.

C Thomas Caskey1.   

Abstract

Despite advancements in genetics, chemistry, and protein engineering, recent years have seen fewer approvals of new drugs, increases in development costs, and high-profile drug withdrawals. This article focuses on technologic methods for improving drug development efficiency. These technologies include high-content cell screening, expression profiling, mass spectroscopy, mouse models of disease, and a post-launch screening program that enables investigations of adverse drug effects. Implementation of these new technologies promises to improve performance in drug development and safety.

Entities:  

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Year:  2007        PMID: 17059362     DOI: 10.1146/annurev.med.58.042705.124037

Source DB:  PubMed          Journal:  Annu Rev Med        ISSN: 0066-4219            Impact factor:   13.739


  16 in total

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2.  The bridging function of clinical pharmacology.

Authors:  Ulrich Klotz
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3.  From bugs to drugs--mining the gut microbiota.

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Journal:  Curr Gastroenterol Rep       Date:  2008-12

Review 4.  Diverse array-designed modes of combination therapies in Fangjiomics.

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5.  Leveraging Big Data to Transform Drug Discovery.

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Journal:  Methods Mol Biol       Date:  2019

Review 6.  Next-generation sequencing: a frameshift in skeletal dysplasia gene discovery.

Authors:  S Lazarus; A Zankl; E L Duncan
Journal:  Osteoporos Int       Date:  2013-08-01       Impact factor: 4.507

7.  99th Dahlem conference on infection, inflammation and chronic inflammatory disorders: host-microbe interactions in the gut: target for drug therapy, opportunity for drug discovery.

Authors:  F Shanahan
Journal:  Clin Exp Immunol       Date:  2010-04       Impact factor: 4.330

8.  Trapping moving targets with small molecules.

Authors:  Gregory M Lee; Charles S Craik
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

Review 9.  Polymer-based sustained-release dosage forms for protein drugs, challenges, and recent advances.

Authors:  Fei Wu; Tuo Jin
Journal:  AAPS PharmSciTech       Date:  2008-12-16       Impact factor: 3.246

10.  Personalized genomic disease risk of volunteers.

Authors:  Manuel L Gonzalez-Garay; Amy L McGuire; Stacey Pereira; C Thomas Caskey
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

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