DocumentCode :
1280426
Title :
A machine learning strategy for protein analysis
Author :
Baldi, Pierre ; Pollastri, Gianluca
Author_Institution :
Inst. for Genomics & Bioinformatics, California Univ., Irvine, CA, USA
Volume :
17
Issue :
2
fYear :
2002
Firstpage :
28
Lastpage :
35
Abstract :
To sift through and analyze the massive and increasingly available data on proteins, researchers need new computing methods. The authors use machine-learning methods in a novel three-step strategy for protein structure prediction.
Keywords :
biology computing; computer aided analysis; learning (artificial intelligence); molecular biophysics; molecular configurations; physics computing; proteins; machine learning strategy; protein analysis; protein structure prediction; Amino acids; Biochemistry; Bioinformatics; Biomembranes; DNA; Genomics; Machine learning; Protein engineering; Proteomics; Sequences;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2002.999217
Filename :
999217
Link To Document :
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