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In silico two-hybrid system for the selection of physically interacting protein pairs
Author(s): Pazos F, Valencia A
Source: PROTEINS-STRUCTURE FUNCTION AND GENETICS    Volume: 47    Issue: 2    Pages: 219-227    Published: MAY 1 2002  
Times Cited: 100     References: 33     
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.
Document Type: Article
Language: English
Reprint Address: Valencia, A (reprint author), CSIC, CNB, Natl Biotechnol Ctr, Prot Design Grp, Plaza Murillo 2, E-28049 Madrid, Spain
Addresses:
1. CSIC, CNB, Natl Biotechnol Ctr, Prot Design Grp, E-28049 Madrid, Spain
Publisher: WILEY-LISS, DIV JOHN WILEY & SONS INC, 605 THIRD AVE, NEW YORK, NY 10158-0012 USA
Subject Category: Biochemistry & Molecular Biology; Biophysics
IDS Number: 536QM
ISSN: 0887-3585
DOI: 10.1002/prot.10074
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