Identification of antifreeze proteins and their functional residues by support vector machine and genetic algorithms based on n-peptide compositions.
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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3105057?pdf=render |