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...
| Главные авторы: | , |
|---|---|
| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Public Library of Science (PLoS)
2011-01-01
|
| Серии: | PLoS ONE |
| Online-ссылка: | http://europepmc.org/articles/PMC3105057?pdf=render |