Literature DB >> 12547004

Structural pharmacogenomics, drug resistance and the design of anti-infective super-drugs.

Edward T Maggio1, Mark Shenderovich, Ron Kagan, Dean Goddette, Kal Ramnarayan.   

Abstract

Large-scale comparative analysis of drug-target polymorphism structures enables the rational design of next generation 'super drugs'--drugs that are less prone to development of drug resistance or that work for the largest possible fraction of the patient population. Furthermore, knowledge of the drug-target-shape repertoire that exists within the patient population enables predictions of likely clinical trial outcomes and response rates for drug efficacy. This gives information on the optimal drug candidates before the initiation of clinical trials. The economic impact of incorporating pharmacogenomics insights early on in the drug discovery process will be substantial and will afford significant competitive advantages to companies that successfully incorporate this technology.

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Year:  2002        PMID: 12547004     DOI: 10.1016/s1359-6446(02)02514-x

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


  2 in total

1.  Structure-based phenotyping predicts HIV-1 protease inhibitor resistance.

Authors:  Mark D Shenderovich; Ron M Kagan; Peter N R Heseltine; Kal Ramnarayan
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

2.  Co-lethality studied as an asset against viral drug escape: the HIV protease case.

Authors:  Sophie Brouillet; Thomas Valere; Emmanuelle Ollivier; Laurent Marsan; Anne Vanet
Journal:  Biol Direct       Date:  2010-06-17       Impact factor: 4.540

  2 in total

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