Literature DB >> 17195476

The protein network as a tool for finding novel drug targets.

Michael Strong1, David Eisenberg.   

Abstract

Proteins are often referred to as the molecular workhorses of the cell since they are responsible for the majority of functions within a living cell. From the generation of energy, to the replication of DNA, proteins play a central role in most cellular functions. Because of their importance to cellular viability, proteins are commonly the target of therapeutic drugs, ranging from antimicrobial to anticancer drugs. With the rise of drug resistant and multi-drug resistant forms of many diseases, it has become increasingly important to develop new strategies to identify alternative drug targets. One such strategy arises from the analysis of protein networks. Protein networks help define individual proteins within the context of all other cellular proteins. In this chapter we discuss methods for the identification and analysis of genome-wide protein networks, and discuss how protein networks can be used to aid the identification of novel drug targets.

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Year:  2007        PMID: 17195476     DOI: 10.1007/978-3-7643-7567-6_8

Source DB:  PubMed          Journal:  Prog Drug Res        ISSN: 0071-786X


  4 in total

Review 1.  Knitting and untying the protein network: modulation of protein ensembles as a therapeutic strategy.

Authors:  Susana Gordo; Ernest Giralt
Journal:  Protein Sci       Date:  2009-03       Impact factor: 6.725

2.  Two-stage flux balance analysis of metabolic networks for drug target identification.

Authors:  Zhenping Li; Rui-Sheng Wang; Xiang-Sun Zhang
Journal:  BMC Syst Biol       Date:  2011-06-20

Review 3.  Targeting tumor angiogenesis with TSP-1-based compounds: rational design of antiangiogenic mimetics of endogenous inhibitors.

Authors:  Giulia Taraboletti; Marco Rusnati; Laura Ragona; Giorgio Colombo
Journal:  Oncotarget       Date:  2010-11

4.  Uncovering new signaling proteins and potential drug targets through the interactome analysis of Mycobacterium tuberculosis.

Authors:  Tao Cui; Lei Zhang; Xizhou Wang; Zheng-Guo He
Journal:  BMC Genomics       Date:  2009-03-19       Impact factor: 3.969

  4 in total

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