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Prediction of G-protein-coupled receptor classes in low homology using chou's pseudo amino acid composition with approximate entropy and hydrophobicity patterns
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نویسنده
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gu q. ,ding y.-s. ,zhang t.-l.
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منبع
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protein and peptide letters - 2010 - دوره : 17 - شماره : 5 - صفحه:559 -567
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چکیده
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We use approximate entropy and hydrophobicity patterns to predict g-protein-coupled receptors. adaboost classifier is adopted as the prediction engine. a low homology dataset is used to validate the proposed method. compared with the results reported,the successful rate is encouraging. the source code is written by matlab. © 2010 bentham science publishers ltd.
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کلیدواژه
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Adaboost; Approximate entropy; G-protein-coupled receptors; Hydrophobicity patterns; Low homology; Pseudo amino acid
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آدرس
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college of information sciences and technology,donghua university, China, college of information sciences and technology,donghua university,shanghai 201620,china,engineering research center of digitized textile and fashion technology,ministry of education, China, college of information sciences and technology,donghua university, China
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Authors
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