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标题：Computational modelling of wet adhesive mussel foot proteins (Bivalvia): Insights into the evolutionary convolution in diverse perspectives
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作者：P. P. Anand ; Y. Shibu Vardhanan
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2020
卷号：10
期号：1
页码：1-24
DOI：10.1038/s41598-020-59169-y
出版社：Springer Nature
摘要：Underwater adhesion in mussels (Bivalvia) is an extreme adaptation to achieve robust and firm wet adhesion in the freshwater/brackish/ocean, which biochemically shaped through millions of years. The protein-based adhesion has huge prospective in various fields like industry, medical, etc. Currently, no comprehensive records related to the systematic documentation of structural and functional properties of Mussel foot proteins (Mfps). In this study, we identified the nine species of bivalves in which the complete sequence of at least one adhesive protein is known. The insilico characterization revealed the specific physio-chemical structural and functional characters of each Mfps. The evolutionary analyses of selected bivalves are mainly based on Mfps, Mitogenome, and TimeTree. The outcome of the works has great applications for designing biomimetic materials in future.