English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6487/11649
Visitors : 28535265      Online Users : 595
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11708

Title: Development of knowledge based system for predicting the stability of proteins upon point mutations
Authors: Huang, Liang-Tsung;Lai, Lien-Fu;Wu, Chao-Chin;Gromiha, M. Michael
Contributors: 資訊工程學系
Date: 2010-08
Issue Date: 2012-07-02T02:03:31Z
Publisher: Elsevier Science Publishers B. V.
Abstract: Prediction of protein stability upon amino acid substitution is an important problem in designing stable proteins. We have developed a classification rule generator for integrating the knowledge of amino acid sequence and experimental stability change upon single mutation. These rules are human readable and hence the method enhances the synergy between expert knowledge and computational system. Utilizing the information about wild type, mutant, three neighboring residues and experimentally observed stability data, we have developed a method based on decision tree for discriminating the stabilizing and destabilizing mutants and predicting the protein stability changes upon single point mutations, which showed an accuracy of 82% and a correlation of 0.70, respectively. In addition, we have developed a fuzzy query method to predict protein stability with partial information. We have developed a web server for predicting the protein stability changes upon single mutations by using fuzzy query mechanism and it is available at http://bioinformatics.myweb.hinet.net/fqstab.htm.
Relation: Neurocomputing, 73(13-15): 2293-2299
Appears in Collections:[資訊工程學系] 期刊論文

Files in This Item:

File SizeFormat

All items in NCUEIR are protected by copyright, with all rights reserved.


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback