Bioinformatics and cellular signaling

Jason Papin; Shankar Subramaniam

doi:10.1016/j.copbio.2004.01.003

Bioinformatics and cellular signaling

Curr Opin Biotechnol. 2004 Feb;15(1):78-81. doi: 10.1016/j.copbio.2004.01.003.

Authors

Jason Papin¹, Shankar Subramaniam

Affiliation

¹ Department of Bioengineering, University of California at San Diego, La Jolla, CA 92037, USA.

PMID: 15102471
DOI: 10.1016/j.copbio.2004.01.003

Abstract

The understanding of cellular function requires an integrated analysis of context-specific, spatiotemporal data from diverse sources. Recent advances in describing the genomic and proteomic 'parts list' of the cell and deciphering the interrelationship of these parts are described, including genome-wide location analysis, standards for microarray data analysis, and two-hybrid and mass spectrometry approaches. This information is being collected and curated in databases such as the Alliance for Cellular Signaling (AfCS) Molecule Pages, which will serve as vital tools for the reconstruction and analysis of cellular signaling networks.

Publication types

Review

MeSH terms

Cell Physiological Phenomena*
Computational Biology / methods*
Databases, Protein*
Gene Expression Profiling / methods*
Gene Expression Regulation / physiology*
Models, Biological
Protein Interaction Mapping / methods*
Proteomics / methods
Signal Transduction / physiology*