Title :
Computational Prediction of Important Regions in Protein Sequences [Life Sciences]
Author :
Pietrosemoli, Natalia ; López, Daniel ; Segura-Cabrera, Aldo ; Pazos, Florencio
Author_Institution :
Rice Univ., Houston, TX, USA
Abstract :
This column summarizes the main approaches for predicting protein functional sites from sequence information. Extracting functional regions from linear protein sequences has many similarities with prototypical problems in signal processing, and some of the methodologies used are taken from this discipline.
Keywords :
DNA; biology computing; genetics; genomics; molecular biophysics; molecular configurations; proteins; DNA; computational prediction; genomic information; linear protein sequences; protein functional sites; prototypical problems; sequence information; signal processing; Amino acids; Bioinformatics; Biomedical informatics; DNA; Feature extraction; Genomics; Protein sequence;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2012.2211476
