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Báo cáo hóa học: " Domain-Based Predictive Models for Protein-Protein Interaction Prediction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Domain-Based Predictive Models for Protein-Protein Interaction Prediction | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 32767 Pages 1-8 DOI 10.1155 ASP 2006 32767 Domain-Based Predictive Models for Protein-Protein Interaction Prediction Xue-Wen Chen and Mei Liu Bioinformatics and Computational Life-Sciences Laboratory Information and Telecommunication Technology Center Department of Electrical Engineering and Computer Science The University of Kansas 1520 West 15th Street Lawrence KS 66045 USA Received 4 May 2005 Revised 8 September 2005 Accepted 15 December 2005 Protein interactions are of biological interest because they orchestrate a number of cellular processes such as metabolic pathways and immunological recognition. Recently methods for predicting protein interactions using domain information are proposed and preliminary results have demonstrated their feasibility. In this paper we develop two domain-based statistical models neural networks and decision trees for protein interaction predictions. Unlike most of the existing methods which consider only domain pairs one domain from one protein and assume that domain-domain interactions are independent of each other the proposed methods are capable of exploring all possible interactions between domains and make predictions based on all the domains. Compared to maximum-likelihood estimation methods our experimental results show that the proposed schemes can predict protein-protein interactions with higher specificity and sensitivity while requiring less computation time. Furthermore the decision tree-based model can be used to infer the interactions not only between two domains but among multiple domains as well. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Proteins play an essential role in nearly all cell functions such as composing cellular structure promoting chemical reactions carrying messages from one cell to another and acting as antibodies. The multiplicity of functions that proteins .