Establishing protein interaction networks is crucial for understanding cellular operations. Detailed knowledge of the 'interactome', the full network of protein-protein interactions, in model cellular systems should provide new insights into the structure and properties of these systems. Parallel to the first massive application of experimental techniques to the determination of protein interaction networks and protein complexes, the first computational methods, based on sequence and genomic information, have emerged.
%0 Journal Article
%1 Valencia2002Computational
%A Valencia, Alfonso
%A Pazos, Florencio
%C Protein Design Group, National Center for Biotechnology, CNB-CSIC, Cantoblanco, 28049, Madrid, Spain. valencia@cnb.uam.es
%D 2002
%J Current opinion in structural biology
%K classic protein-protein-interactions review
%N 3
%P 368--373
%R 10.1016/S0959-440X(02)00333-0
%T Computational methods for the prediction of protein interactions.
%U http://dx.doi.org/10.1016/S0959-440X(02)00333-0
%V 12
%X Establishing protein interaction networks is crucial for understanding cellular operations. Detailed knowledge of the 'interactome', the full network of protein-protein interactions, in model cellular systems should provide new insights into the structure and properties of these systems. Parallel to the first massive application of experimental techniques to the determination of protein interaction networks and protein complexes, the first computational methods, based on sequence and genomic information, have emerged.
@article{Valencia2002Computational,
abstract = {Establishing protein interaction networks is crucial for understanding cellular operations. Detailed knowledge of the 'interactome', the full network of protein-protein interactions, in model cellular systems should provide new insights into the structure and properties of these systems. Parallel to the first massive application of experimental techniques to the determination of protein interaction networks and protein complexes, the first computational methods, based on sequence and genomic information, have emerged.},
added-at = {2018-12-02T16:09:07.000+0100},
address = {Protein Design Group, National Center for Biotechnology, CNB-CSIC, Cantoblanco, 28049, Madrid, Spain. valencia@cnb.uam.es},
author = {Valencia, Alfonso and Pazos, Florencio},
biburl = {https://www.bibsonomy.org/bibtex/2deeedc356c3f74b2c7576f781ac2bbec/karthikraman},
citeulike-article-id = {539133},
citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0959-440X(02)00333-0},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/12127457},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=12127457},
doi = {10.1016/S0959-440X(02)00333-0},
interhash = {e37daf289e3b291f753e38829337bd88},
intrahash = {deeedc356c3f74b2c7576f781ac2bbec},
issn = {0959-440X},
journal = {Current opinion in structural biology},
keywords = {classic protein-protein-interactions review},
month = jun,
number = 3,
pages = {368--373},
pmid = {12127457},
posted-at = {2014-12-29 08:36:42},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Computational methods for the prediction of protein interactions.},
url = {http://dx.doi.org/10.1016/S0959-440X(02)00333-0},
volume = 12,
year = 2002
}