Prediction of protein structural class using a complexity-based distance measure

@article{Liu2009PredictionOP,
  title={Prediction of protein structural class using a complexity-based distance measure},
  author={Taigang Liu and Xiaoqi Zheng and Jun Wang},
  journal={Amino Acids},
  year={2009},
  volume={38},
  pages={721-728}
}
Knowledge of structural class plays an important role in understanding protein folding patterns. So it is necessary to develop effective and reliable computational methods for prediction of protein structural class. To this end, we present a new method called NN-CDM, a nearest neighbor classifier with a complexity-based distance measure. Instead of extracting features from protein sequences as done previously, distance between each pair of protein sequences is directly evaluated by a complexity… CONTINUE READING
Highly Cited
This paper has 207 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

208 Citations

050100'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 208 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 54 references

Similar Papers

Loading similar papers…