Frequency and Markov chain analysis of amino acid sequences of human connective tissue growth factor |
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Authors: | Guang Wu Shao-Min Yan |
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Affiliation: | (1) Computational Mutation Project, DreamSciTech Consulting, 301, Building 12, Nanyou A-zone, Jiannan Road, Shenzhen, Guangdong Province, CN-518054, China |
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Abstract: | The amino acid sequence of human connective tissue growth factor was measured according to two-, three- and four-amino-acid sequences. The measured frequency and probability were compared with predicted frequency and probability. In human connective tissue growth factor, 81 (23.276%) and 21 (6.034%) of 348 two-amino-acid sequences can be explained by the predicted frequency and probability according to a purely random mechanism, 113 (55.122%) and 50 (24.390%) of 205 non-appearing two-amino-acid sequences can be explained by the predicted frequency and probability according to a purely random mechanism; no measured Markov transition probability for the second amino acid in two-amino-acid sequences matches the predicted conditional probability. |
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