Secondary structure prediction
Part 4. Bioinformatics
4.6. Methods for Structure Analysis and Prediction
Short Specialist Review
Published Online: 15 APR 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
How to Cite
Tan, C. W. and Jones, D. T. 2005. Secondary structure prediction. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.6:76.
- Published Online: 15 APR 2005
The problem of predicting protein secondary structure from amino acid is briefly reviewed. The discussion covers the problem of defining secondary structure, the basis of modern prediction methods, and finally, the problem of how predictions can be evaluated. Modern methods are found to be between 74 and 80% accurate (per-residue) for 3-state (helix/strand/coil) prediction, and it is becoming evident that further improvements in accuracy will only come from considering the aspects of the tertiary structure of proteins.
- secondary structure;
- machine learning;
- neural network;
- sequence analysis