Literature DB >> 16108076

Protein-interaction mapping in search of effective drug targets.

Amitabha Chaudhuri1, John Chant.   

Abstract

Signaling complexes and networks are being intensely studied in an attempt to discover pathways that are amenable to therapeutic intervention. A challenge in this search is to understand the effect that the modulation of a target will have on the overall function of a cell and its surrounding neighbors. Protein-interaction mapping reveals relationships between proteins and their impact on cellular processes and is being used more widely in our understanding of disease mechanisms and their treatment. The review discusses challenges and breakthroughs in this new and evolving area and its impact on medicine.

Mesh:

Year:  2005        PMID: 16108076     DOI: 10.1002/bies.20284

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  5 in total

1.  A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining.

Authors:  Taner Z Sen; Haitao Cheng; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

2.  Intracellular complexes of the beta2 subunit of the nicotinic acetylcholine receptor in brain identified by proteomics.

Authors:  Nadine Kabbani; Matthew P Woll; Robert Levenson; Jon M Lindstrom; Jean-Pierre Changeux
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-10       Impact factor: 11.205

3.  Functional organization of the yeast proteome by a yeast interactome map.

Authors:  André X C N Valente; Seth B Roberts; Gregory A Buck; Yuan Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-21       Impact factor: 11.205

4.  Signalogs: orthology-based identification of novel signaling pathway components in three metazoans.

Authors:  Tamás Korcsmáros; Máté S Szalay; Petra Rovó; Robin Palotai; Dávid Fazekas; Katalin Lenti; Illés J Farkas; Péter Csermely; Tibor Vellai
Journal:  PLoS One       Date:  2011-05-03       Impact factor: 3.240

5.  HAPPI-2: a Comprehensive and High-quality Map of Human Annotated and Predicted Protein Interactions.

Authors:  Jake Y Chen; Ragini Pandey; Thanh M Nguyen
Journal:  BMC Genomics       Date:  2017-02-17       Impact factor: 3.969

  5 in total

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