NDLI: Combining few neural networks for effective secondary structure prediction

Content Provider	IEEE Xplore Digital Library
Author	Guimaraes, K.S. Melo, J.C.B. Cavalcanti, G.D.C.
Copyright Year	2003
Description	Author affiliation: Center of Informatics, UFPE, Recife, Brazil (Guimaraes, K.S.)
Abstract	The prediction of secondary structure is treated with a simple and efficient method. Combining only three neural networks, an average Q/sub 3/ accuracy prediction by residues of 75.93% is achieved. This value is better than the best results reported on the same test and training database, CB396, using the same validation method. For a second database, RS126, an average Q/sub 3/ accuracy of 74.13% is attained, which is better than each individual method, being defeated only by CONSENSUS, a rather intricate engine, which is a combination of several methods. The networks are trained with RPROP an efficient variation of the back-propagation algorithm. Five combination rules are applied independently afterwards. Each one increases the accuracy of prediction by at least 1%, due to the fact that each network used converges to a different local minimum. The Product rule derives the best results. The predictor described here can be accessed at http://biolab.cin.ufpe.br/tools/.
Sponsorship	IEEE Comput. Soc. Inf. Technol. Res. Inst. at Wright State Univ. IEEE Neural Networks Soc
Starting Page	415
Ending Page	420
File Size	316180
Page Count	6
File Format	PDF
ISBN	0769519075
DOI	10.1109/BIBE.2003.1188981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Proteins Databases Accuracy Testing Amino acids Coils Machine learning Engines Drugs
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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