A similarity distance of diversity measure for discriminating mesophilic and thermophilic proteins

@article{Zuo2012ASD,
  title={A similarity distance of diversity measure for discriminating mesophilic and thermophilic proteins},
  author={Yongchun Zuo and Wei Chen and Guo-Liang Fan and Qian-zhong Li},
  journal={Amino Acids},
  year={2012},
  volume={44},
  pages={573-580}
}
The successful prediction of thermophilic proteins is useful for designing stable enzymes that are functional at high temperature. We have used the increment of diversity (ID), a novel amino acid composition-based similarity distance, in a 2-class K-nearest neighbor classifier to classify thermophilic and mesophilic proteins. And the KNN-ID classifier was successfully developed to predict the thermophilic proteins. Instead of extracting features from protein sequences as done previously, our… CONTINUE READING
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