In silico two-hybrid system for the selection of physically interacting protein pairs

@article{citeulike:1287873, abstract = {Deciphering the interaction links between proteins has become one of the main tasks of experimental and bioinformatic methodologies. Reconstruction of complex networks of interactions in simple cellular systems by integrating predicted interaction networks with available experimental data is becoming one of the most demanding needs in the postgenomic era. On the basis of the study of correlated mutations in multiple sequence alignments, we propose a new method (in silico two-hybrid, i2h) that directly addresses the detection of physically interacting protein pairs and identifies the most likely sequence regions involved in the interactions. We have applied the system to several test sets, showing that it can discriminate between true and false interactions in a significant number of cases. We have also analyzed a large collection of E. coli protein pairs as a first step toward the virtual reconstruction of its complete interaction network. Proteins 2002;47:219-227. {\copyright} 2002 Wiley-Liss, Inc.}, address = {Protein Design Group, CNB-CSIC, Madrid, Spain}, author = {Pazos, Florencio and Valencia, Alfonso }, citeulike-article-id = {1287873}, doi = {http://dx.doi.org/10.1002/prot.10074}, journal = {Proteins: Structure, Function, and Genetics}, keywords = {coevolution}, number = {2}, pages = {219--227}, posted-at = {2007-05-10 11:31:33}, priority = {2}, title = {In silico two-hybrid system for the selection of physically interacting protein pairs}, url = {http://dx.doi.org/10.1002/prot.10074}, volume = {47}, year = {2002} }

TY - JOUR ID - citeulike:1287873 L3 - citeulike-article-id:1287873 TI - In silico two-hybrid system for the selection of physically interacting protein pairs JF - Proteins: Structure, Function, and Genetics VL - 47 IS - 2 SP - 219 EP - 227 AD - Protein Design Group, CNB-CSIC, Madrid, Spain N2 - Deciphering the interaction links between proteins has become one of the main tasks of experimental and bioinformatic methodologies. Reconstruction of complex networks of interactions in simple cellular systems by integrating predicted interaction networks with available experimental data is becoming one of the most demanding needs in the postgenomic era. On the basis of the study of correlated mutations in multiple sequence alignments, we propose a new method (in silico two-hybrid, i2h) that directly addresses the detection of physically interacting protein pairs and identifies the most likely sequence regions involved in the interactions. We have applied the system to several test sets, showing that it can discriminate between true and false interactions in a significant number of cases. We have also analyzed a large collection of E. coli protein pairs as a first step toward the virtual reconstruction of its complete interaction network. Proteins 2002;47:219-227. © 2002 Wiley-Liss, Inc. KW - coevolution AU - Pazos, Florencio AU - Valencia, Alfonso PY - 2002/// UR - http://dx.doi.org/10.1002/prot.10074 ER -