The Accurate Prediction of Protein Family from Amino Acid Sequence by Measuring Features of Sequence Fragments-Reference-Cited by-同舟云学术

The Accurate Prediction of Protein Family from Amino Acid Sequence by Measuring Features of Sequence Fragments

Published:2009-12 Issue:12 Volume:16 Page:1671-1688
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Hong Huixiao¹,Hong Qilong²,Perkins Roger³,Shi Leming¹,Fang Hong³,Su Zhenqiang¹,Dragan Yvonne¹,Fuscoe James C.¹,Tong Weida¹

Affiliation:

1. Division of Systems Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas.

2. Department of Mechanical Engineering, University of Arkansas, Fayetteville, Arkansas.

3. Division of Bioinformatics, ICF International at National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2008.0115

Reference17 articles.

1. Principles that Govern the Folding of Protein Chains

2. Assessing the accuracy of prediction algorithms for classification: an overview

3. Hidden Markov models of biological primary sequence information.

4. Support-vector networks

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