Literature DB >> 12570160

Proteomics: drug target discovery on an industrial scale.

Terence E Ryan1, Scott D Patterson.   

Abstract

The discovery of targets that are sufficiently robust to yield marketable therapeutics is an enormous challenge. Through the years, several approaches have been used with varying degrees of success. These include target-independent screening of tumor-derived cell lines (disease-dependent), reductionist approaches to identifying crucial elements of disease-affected pathways, disease-independent screening of homologs of previously drugged targets, disease-dependent 'global' examination of gene transcript levels, and disease-dependent global examination of protein expression levels. These endeavors have been enabled by several major advancements in technology, most recently, the sequencing of the human genome. This review identifies the technical issues to be addressed for industrial-scale protein-based discovery in the identification of targets for therapeutic (or diagnostic) intervention. Such approaches aim to direct discovery in a way that increases the probability of robust target identification, and decreases the probability of failure owing to variable expression in this emerging field.

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Year:  2002        PMID: 12570160     DOI: 10.1016/s1471-1931(02)00199-4

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  4 in total

1.  Critical size dependence of domain formation observed in coarse-grained simulations of bilayers composed of ternary lipid mixtures.

Authors:  George A Pantelopulos; Tetsuro Nagai; Asanga Bandara; Afra Panahi; John E Straub
Journal:  J Chem Phys       Date:  2017-09-07       Impact factor: 3.488

2.  Expressionview: visualization of quantitative trait loci and gene-expression data in Ensembl.

Authors:  Gertrud Fischer; Saleh M Ibrahim; Gudrun A Brockmann; Jens Pahnke; Ezio Bartocci; Hans-Jürgen Thiesen; Pablo Serrano-Fernández; Steffen Möller
Journal:  Genome Biol       Date:  2003-10-10       Impact factor: 13.583

3.  UniDrug-target: a computational tool to identify unique drug targets in pathogenic bacteria.

Authors:  Sree Krishna Chanumolu; Chittaranjan Rout; Rajinder S Chauhan
Journal:  PLoS One       Date:  2012-03-14       Impact factor: 3.240

Review 4.  Chemical proteomics: terra incognita for novel drug target profiling.

Authors:  Fuqiang Huang; Boya Zhang; Shengtao Zhou; Xia Zhao; Ce Bian; Yuquan Wei
Journal:  Chin J Cancer       Date:  2012-05-23
  4 in total

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