Using Support Vector Machine and Evolutionary Profiles to Predict Antifreeze Protein Sequences

Antifreeze proteins (AFPs) are ice-binding proteins. Accurate identification of new AFPs is important in understanding ice-protein interactions and creating novel ice-binding domains in other proteins. In this paper, an accurate method, called AFP_PSSM, has been developed for predicting antifreeze p...

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Detalles Bibliográficos
Autores principales: Zhao, Xiaowei, Ma, Zhiqiang, Yin, Minghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292016/
https://www.ncbi.nlm.nih.gov/pubmed/22408447
http://dx.doi.org/10.3390/ijms13022196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292016/
https://www.ncbi.nlm.nih.gov/pubmed/22408447
http://dx.doi.org/10.3390/ijms13022196

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