Skip Navigation

This Article
Right arrow Full Text (Print PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Asai, K.
Right arrow Articles by Handa, K.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Asai, K.
Right arrow Articles by Handa, K.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Oxford University Press

Prediction of protein secondary structure by the hidden Markov model

Kiyoshi Asai , Satoru Hayamizu and Ken'ichi Handa

Electrotechnical Laboratory 1–1–4 Umezono, Tsukuba Ibaraki, 305 Japan

The purpose of this paper is to introduce a new method for analyzing the amino acid sequences of proteins using the hidden Markov model (HMM), which is a type of stochastic model. Secondary structures such as helix, sheet and turn are learned by HMMs, and these HMMs are applied to new sequences whose structures are unknown. The output probabilities from the HMMs are used to predict the secondary structures of the sequences. The authors tested this prediction system on ~100 sequences from a public database (Brookhaven PDB). Although the implementation is ‘without grammar’ (no rule for the appearance patterns of secondary structure) the result was reasonable.

Received on January 17, 1992; accepted on July 15, 1992

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Protein Eng Des SelHome page
J. Wang and J.-A. Feng
Exploring the sequence patterns in the {alpha}-helices of proteins
Protein Eng. Des. Sel., November 1, 2003; 16(11): 799 - 807.
[Abstract] [Full Text] [PDF]

Home page
 Protein Eng Des SelHome page
A.C. Camproux, P. Tuffery, J.P. Chevrolat, J.F. Boisvieux, and S. Hazout
Hidden Markov model approach for identifying the modular framework of the protein backbone
Protein Eng. Des. Sel., December 1, 1999; 12(12): 1063 - 1073.
[Abstract] [Full Text] [PDF]

Home page
 GeneticsHome page
N. Goldman, J. L. Thorne, and D. T. Jones
Assessing the Impact of Secondary Structure and Solvent Accessibility on Protein Evolution
Genetics, May 1, 1998; 149(1): 445 - 458.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.