Structural systems biology: modelling protein interactions. Export

@article{citeulike:517200, abstract = {Much of systems biology aims to predict the behaviour of biological systems on the basis of the set of molecules involved. Understanding the interactions between these molecules is therefore crucial to such efforts. Although many thousands of interactions are known, precise molecular details are available for only a tiny fraction of them. The difficulties that are involved in experimentally determining atomic structures for interacting proteins make predictive methods essential for progress. Structural details can ultimately turn abstract system representations into models that more accurately reflect biological reality.}, author = {Aloy, Patrick and Russell, Robert B.}, citeulike-article-id = {517200}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrm1859}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrm1859}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16496021}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16496021}, doi = {10.1038/nrm1859}, issn = {1471-0072}, journal = {Nature reviews. Molecular cell biology}, keywords = {interaction, modeling, protein, structure, system}, month = {March}, number = {3}, pages = {188--197}, posted-at = {2006-09-02 00:22:24}, priority = {2}, publisher = {Nature Publishing Group}, title = {Structural systems biology: modelling protein interactions.}, url = {http://dx.doi.org/10.1038/nrm1859}, volume = {7}, year = {2006} }

TY - JOUR ID - citeulike:517200 L3 - citeulike-article-id:517200 N2 - Much of systems biology aims to predict the behaviour of biological systems on the basis of the set of molecules involved. Understanding the interactions between these molecules is therefore crucial to such efforts. Although many thousands of interactions are known, precise molecular details are available for only a tiny fraction of them. The difficulties that are involved in experimentally determining atomic structures for interacting proteins make predictive methods essential for progress. Structural details can ultimately turn abstract system representations into models that more accurately reflect biological reality. IS - 3 JF - Nature reviews. Molecular cell biology SN - 1471-0072 EP - 197 TI - Structural systems biology: modelling protein interactions. PB - Nature Publishing Group VL - 7 SP - 188 KW - interaction KW - modeling KW - protein KW - structure KW - system AU - Aloy, Patrick AU - Russell, Robert PY - 2006/03// UR - http://dx.doi.org/10.1038/nrm1859 ER -