NDLI: Prediction of beta-turn types using SVM and evolutionary information

Content Provider	IEEE Xplore Digital Library
Author	Qiang Li Yanda Li
Copyright Year	2005
Description	Author affiliation: Dept. of Autom., Tsinghua Univ., Beijing, China (Qiang Li; Yanda Li)
Abstract	/spl beta/-turn, a majority of tight turn which is one of the three most important structural features after /spl alpha/-helix and /spl beta/-sheet, plays an important role in protein folding and stability. In the past three decades, many methods for predicting /spl beta/-turns or /spl beta/-turn types have been developed. In this paper, we perform a novel method of predicting /spl beta/-turn types using support vector machine, based on evolutionary information generated by PSI-BLAST and secondary structure information produce by PSIPRED. This method is tested on a non-homologous dataset of 426 protein chains. The overall accuracy and MCC of predicting type I, II, IV, VIII and NS (no-specific) /spl beta/-turn is much better than neural network recently developed by Kaur and Raghava.
Starting Page	453
Ending Page	456
File Size	4615647
Page Count	4
File Format	PDF
ISBN	0780392663
DOI	10.1109/ISPACS.2005.1595444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Proteins Databases Neural networks Learning systems Laboratories Bioinformatics Automation Cities and towns Stability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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