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Firstly, support vector machine (SVM) modules were developed using amino acid composition and dipeptide composition for predicting oxygen-binding proteins, and achieved maximum accuracy of 85.5% and 87.8%, respectively. Secondly, an SVM module was developed based on amino acid composition, classifying the predicted oxygen-binding proteins into six classes with accuracy of 95.8%, 97.5%, 97.5%, 96.9%, 99.4%, and 96.0% for erythrocruorin, hemerythrin, hemocyanin, hemoglobin, leghemoglobin, and myoglobin proteins, respectively. Finally, an SVM module was developed using dipeptide composition for classifying the oxygen-binding proteins, and achieved maximum accuracy of 96.1%, 98.7%, 98.7%, 85.6%, 99.6%, and 93.3% for the above six classes, respectively. All modules were trained and tested by five-fold cross validation. Based on the above approach, a web server Oxypred was developed for predicting and classifying oxygen-binding proteins (available from http:\/\/www.imtech.res.in\/raghava\/oxypred\/).<\/jats:p>","DOI":"10.1016\/s1672-0229(08)60012-1","type":"journal-article","created":{"date-parts":[[2008,2,11]],"date-time":"2008-02-11T12:15:33Z","timestamp":1202732133000},"page":"250-252","source":"Crossref","is-referenced-by-count":6,"title":["Oxypred: Prediction and Classification of Oxygen-Binding Proteins"],"prefix":"10.1093","volume":"5","author":[{"given":"S.","family":"Muthukrishnan","sequence":"first","affiliation":[{"name":"Institute of Microbial Technology , Chandigarh, Sector 39-A, 160036 , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aarti","family":"Garg","sequence":"additional","affiliation":[{"name":"Institute of Microbial Technology , Chandigarh, Sector 39-A, 160036 , India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.P.S.","family":"Raghava","sequence":"additional","affiliation":[{"name":"Institute of Microbial Technology , Chandigarh, Sector 39-A, 160036 , India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2008,2,8]]},"reference":[{"key":"2024051008233698900_bib1","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.biotechadv.2006.11.001","article-title":"Recent developments and future prospects of Vitreoscilla hemoglobin application in metabolic engineering","volume":"25","author":"Zhang","year":"2007","journal-title":"Biotechnol. 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