{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T08:32:52Z","timestamp":1772613172630,"version":"3.50.1"},"reference-count":61,"publisher":"Oxford University Press (OUP)","issue":"17","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: The accurate prediction of protein folding rate change upon mutation is an important and challenging problem in protein folding kinetics and design. In this work, we have collected experimental data on protein folding rate change upon mutation from various sources and constructed a reliable and non-redundant dataset with 467 mutants. These mutants are widely distributed based on secondary structure, solvent accessibility, conservation score and long-range contacts. From systematic analysis of these parameters along with a set of 49 amino acid properties, we have selected a set of 12 features for discriminating the mutants that speed up or slow down the folding process. We have developed a method based on quadratic regression models for discriminating the accelerating and decelerating mutants, which showed an accuracy of 74% using the 10-fold cross-validation test. The sensitivity and specificity are 63% and 76%, respectively. The method can be improved with the inclusion of physical interactions and structure-based parameters.<\/jats:p><jats:p>Availability: \u00a0http:\/\/bioinformatics.myweb.hinet.net\/freedom.htm<\/jats:p><jats:p>Contact: \u00a0michael-gromiha@aist.go.jp<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq350","type":"journal-article","created":{"date-parts":[[2010,7,11]],"date-time":"2010-07-11T20:55:14Z","timestamp":1278881714000},"page":"2121-2127","source":"Crossref","is-referenced-by-count":22,"title":["First insight into the prediction of protein folding rate change upon point mutation"],"prefix":"10.1093","volume":"26","author":[{"given":"Liang-Tsung","family":"Huang","sequence":"first","affiliation":[{"name":"1 Department of Information Communication, Mingdao University, Changhua 523, Taiwan and 2Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), AIST Tokyo Waterfront Bio-IT Research Building, 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan"}]},{"given":"M. Michael","family":"Gromiha","sequence":"additional","affiliation":[{"name":"1 Department of Information Communication, Mingdao University, Changhua 523, Taiwan and 2Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), AIST Tokyo Waterfront Bio-IT Research Building, 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan"}]}],"member":"286","published-online":{"date-parts":[[2010,7,8]]},"reference":[{"key":"2023012508002115100_B1","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","article-title":"Basic local alignment search tool","volume":"215","author":"Altschul","year":"1990","journal-title":"J. Mol. 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