Title :
Predicting secondary structures of proteins
Author :
Blazewicz ; Hammer, Peter L. ; Lukasiak, Piotr
Author_Institution :
Poznan Tech. Univ., Poland
Abstract :
The article presents the application of a new machine-learning algorithm for the prediction of secondary structures of proteins. The logical analysis of data (LAD) algorithm was applied to recognize which amino acids properties could be analyzed to deliver additional information, independent from protein homology, useful in determining the secondary structure of a protein. The study showed that to get better results, LAD should be used as a first stage of analysis in combination with another method that is able to take into account a more detailed understanding of the physical chemistry of proteins and amino acids.
Keywords :
biochemistry; biology computing; learning (artificial intelligence); molecular biophysics; molecular configurations; proteins; amino acids; logical analysis of data algorithm; machine learning; physical chemistry; protein homology; protein secondary structures; Algorithm design and analysis; Amino acids; Biological information theory; Coils; Data analysis; Neural networks; Prediction methods; Protein engineering; Sequences; Shape;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
DOI :
10.1109/MEMB.2005.1436465
