Prediction of protein subcellular localization based on variable-length motifs detection and dissimilarity based classification

@article{ArangoArgoty2011PredictionOP,
  title={Prediction of protein subcellular localization based on variable-length motifs detection and dissimilarity based classification},
  author={G. A. Arango-Argoty and Jorge Alberto Jaramillo-Garz{\'o}n and S. Rothlisberger and Germ{\'a}n Castellanos-Dom{\'i}nguez},
  journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2011},
  pages={945-948}
}
Predict the function of unknown proteins is one of the principal goals in computational biology. The subcellular localization of a protein allows further understanding its structure and molecular function. Numerous prediction techniques have been developed, usually focusing on global information of the protein. But, predictions can be done through the identification of functional sub-sequence patterns known as motifs. For motifs discovery problem, many methods requires a predefined fixed window… CONTINUE READING