Literature DB >> 22821600

Protein interactions: mapping interactome networks to support drug target discovery and selection.

Javier De Las Rivas1, Carlos Prieto.   

Abstract

Proteins are biomolecular structures that build the microscopic working machinery of any living system. Proteins within the cells and biological systems do not act alone, but rather team up into macromolecular structures enclosing intricate physicochemical dynamic connections to undertake biological functions. A critical step towards unraveling the complex molecular relationships in living systems is the mapping of protein-to-protein physical "interactions". The complete map of protein interactions that can occur in a living organism is called the "interactome". Achieving an adequate atlas of all the protein interactions within a living system should allow to build its interaction network and to identity the "central nodes" that can be critical for the function, the homeostasis, and the movement of such system. Focusing on human studies, the data about the human interactome are most relevant for current biomedical research, because it is clear that the location of the proteins in the interactome network will allow to evaluate their centrality and to redefine the potential value of each protein as a drug target. This chapter presents our current knowledge on the human protein-protein interactome and explains how such knowledge can help us to select adequate targets for drugs.

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Year:  2012        PMID: 22821600     DOI: 10.1007/978-1-61779-965-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

2.  SynSysNet: integration of experimental data on synaptic protein-protein interactions with drug-target relations.

Authors:  Joachim von Eichborn; Mathias Dunkel; Björn O Gohlke; Sarah C Preissner; Michael F Hoffmann; Jakob M J Bauer; J D Armstrong; Martin H Schaefer; Miguel A Andrade-Navarro; Nicolas Le Novere; Michael D R Croning; Seth G N Grant; Pim van Nierop; August B Smit; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2012-11-11       Impact factor: 16.971

3.  Integrated interactions database: tissue-specific view of the human and model organism interactomes.

Authors:  Max Kotlyar; Chiara Pastrello; Nicholas Sheahan; Igor Jurisica
Journal:  Nucleic Acids Res       Date:  2015-10-29       Impact factor: 16.971

4.  RNA-Seq Revealed Expression of Many Novel Genes Associated With Leishmania donovani Persistence and Clearance in the Host Macrophage.

Authors:  Mohammad Shadab; Sonali Das; Anindyajit Banerjee; Roma Sinha; Mohammad Asad; Mohd Kamran; Mithun Maji; Baijayanti Jha; Makaraju Deepthi; Manoharan Kumar; Abhishek Tripathi; Bipin Kumar; Saikat Chakrabarti; Nahid Ali
Journal:  Front Cell Infect Microbiol       Date:  2019-02-05       Impact factor: 5.293

5.  Computer aided analysis of disease linked protein networks.

Authors:  Soudabeh Sabetian; Mohd Shahir Shamsir
Journal:  Bioinformation       Date:  2019-07-31

6.  Multi-parameter systematic strategies for predictive, preventive and personalised medicine in cancer.

Authors:  Rong Hu; Xiaowei Wang; Xianquan Zhan
Journal:  EPMA J       Date:  2013-01-22       Impact factor: 6.543

Review 7.  Analyzing of Molecular Networks for Human Diseases and Drug Discovery.

Authors:  Tong Hao; Qian Wang; Lingxuan Zhao; Dan Wu; Edwin Wang; Jinsheng Sun
Journal:  Curr Top Med Chem       Date:  2018       Impact factor: 3.295

  7 in total

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