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

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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Bibliographic Details
Main Authors: Xiaowei Zhao, Minghao Yin, Zhiqiang Ma
Format: Article
Language:English
Published: MDPI AG 2012-02-01
Series:International Journal of Molecular Sciences
Subjects:
antifreeze proteins
support vector machine
position specific scoring matrix
web sever
evolutionary information
Online Access:http://www.mdpi.com/1422-0067/13/2/2196/

Internet

http://www.mdpi.com/1422-0067/13/2/2196/

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