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• W2023249629 abstract "For the first time, multiple sets of n-peptide compositions from antifreeze protein (AFP) sequences of various cold-adapted fish and insects were analyzed using support vector machine and genetic algorithms. The identification of AFPs is difficult because they exist as evolutionarily divergent types, and because their sequences and structures are present in limited numbers in currently available databases. Our results reveal that it is feasible to identify the shared sequential features among the various structural types of AFPs. Moreover, we were able to identify residues involved in ice binding without requiring knowledge of the three-dimensional structures of these AFPs. This approach should be useful for genomic and proteomic studies involving cold-adapted organisms." @default.
• W2023249629 created "2016-06-24" @default.
• W2023249629 creator A5053397364 @default.
• W2023249629 creator A5065352854 @default.
• W2023249629 date "2011-01-01" @default.
• W2023249629 modified "2023-09-26" @default.
• W2023249629 title "Identification of antifreeze proteins and their functional residues by support vector machine and genetic algorithms based on n-peptide compositions." @default.
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• W2023249629 doi "https://doi.org/10.1371/journal.pone.0020445" @default.
• W2023249629 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3105057" @default.
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• W2023249629 hasPublicationYear "2011" @default.
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