IDDI: The Integrated Domain-Domain Interaction Analysis System

Understanding protein interactions in domain level provides valuable information about binding mechanisms and functional roles of interacting proteins. The straightforward sources of domain-domain interaction (DDI) are 3D structure of protein complexes, but the available number of 3D structures is not sufficient. The other attractive choice is to use predicted DDI datasets because plenty of such sources are available currently. Here, we developed an integrated domain-domain interaction analysis system (IDDI) that combines 23 DDI datasets and provides 204, 705 unique DDIs. We determined the reliability of predicted DDIs by considering the confidence level of each prediction method, the independency of predicted datasets and the prediction scores. In comparison with other integrated DDI database, the amount of reliable DDIs is significantly increased. In addition, IDDI provides the interface for interaction analysis that enables to explore an interaction network at both protein and domain level. IDDI is freely available at http://pcode.kaist.ac.kr/iddi.

[1]  Sailu Yellaboina,et al.  DOMINE: a comprehensive collection of known and predicted domain-domain interactions , 2010, Nucleic Acids Res..

[2]  Dmitrij Frishman,et al.  DIMA 3.0: Domain Interaction Map , 2010, Nucleic Acids Res..

[3]  K. Aihara,et al.  A discriminative approach for identifying domain–domain interactions from protein–protein interactions , 2010, Proteins.

[4]  Erik L. L. Sonnhammer,et al.  Comparative analysis and unification of domain-domain interaction networks , 2009, Bioinform..

[5]  Mei Liu,et al.  Knowledge-guided inference of domain–domain interactions from incomplete protein–protein interaction networks , 2009, Bioinform..

[6]  Min-Sung Kim,et al.  Combined Database System for Binary Protein Interaction and Co-complex Association , 2009, 2009 International Association of Computer Science and Information Technology - Spring Conference.

[7]  Brian R. King,et al.  A Top-Down Approach to Infer and Compare Domain-Domain Interactions across Eight Model Organisms , 2009, PloS one.

[8]  Sven-Eric Schelhorn,et al.  An integrative approach for predicting interactions of protein regions , 2008, ECCB.

[9]  Andrew J. Bordner,et al.  Comprehensive inventory of protein complexes in the Protein Data Bank from consistent classification of interfaces , 2008, BMC Bioinformatics.

[10]  Teresa M. Przytycka,et al.  Interrogating domain-domain interactions with parsimony based approaches , 2008, BMC Bioinformatics.

[11]  Luonan Chen,et al.  Analysis on multi-domain cooperation for predicting protein-protein interactions , 2007, BMC Bioinformatics.

[12]  Alex Bateman,et al.  Reuse of structural domain–domain interactions in protein networks , 2007, BMC Bioinformatics.

[13]  Mudita Singhal,et al.  A domain-based approach to predict protein-protein interactions , 2007, BMC Bioinformatics.

[14]  K. Guimaraes,et al.  Predicting domain-domain interactions using a parsimony approach , 2006, Genome Biology.

[15]  Raja Jothi,et al.  Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions. , 2006, Journal of molecular biology.

[16]  S. Wuchty Topology and weights in a protein domain interaction network – a novel way to predict protein interactions , 2006, BMC Genomics.

[17]  C. Arrowsmith,et al.  p53 Transcriptional Activation Domain: A Molecular Chameleon? , 2006, Cell cycle.

[18]  Ting Chen,et al.  An integrated approach to the prediction of domain-domain interactions , 2006, BMC Bioinformatics.

[19]  Mei Liu,et al.  Prediction of protein-protein interactions using random decision forest framework , 2005, Bioinform..

[20]  Christopher J. Lee,et al.  Inferring protein domain interactions from databases of interacting proteins , 2005, Genome Biology.

[21]  T. Barrette,et al.  Probabilistic model of the human protein-protein interaction network , 2005, Nature Biotechnology.

[22]  Nianjun Liu,et al.  Inferring protein-protein interactions through high-throughput interaction data from diverse organisms , 2005, Bioinform..

[23]  Tom M. W. Nye,et al.  Statistical analysis of domains in interacting protein pairs , 2005, Bioinform..

[24]  Robert D. Finn,et al.  iPfam: visualization of protein?Cprotein interactions in PDB at domain and amino acid resolutions , 2005, Bioinform..

[25]  Robert B. Russell,et al.  3did: interacting protein domains of known three-dimensional structure , 2004, Nucleic Acids Res..

[26]  D. Frishman,et al.  A domain interaction map based on phylogenetic profiling. , 2004, Journal of molecular biology.

[27]  T. Pawson,et al.  Assembly of Cell Regulatory Systems Through Protein Interaction Domains , 2003, Science.

[28]  See-Kiong Ng,et al.  Integrative approach for computationally inferring protein domain interactions , 2003, SAC '03.

[29]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[30]  K. Yoshikawa,et al.  Physical and Functional Interactions of Neuronal Growth Suppressor Necdin with p53* , 1999, The Journal of Biological Chemistry.