Fuzz-SSVS: A Fuzzy logic based voting scheme to improve protein secondary structure prediction

This paper presents a novel approach, Fuzz-SSVS, to improve the secondary structure prediction of proteins. In this work, a Sugeno based Fuzzy System is trained to act as a voting system to combine results of several secondary structure prediction techniques and produce superior answers. Fuzz-SSVS i...

Full description

Saved in:
Bibliographic Details
Main Authors: Taheri, J., Zomaya, A. Y., Delicato, F. C., Pires, P. F.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Amino acids
Benchmark testing
Fuzzy systems
Prediction methods
Proteins
Training
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a novel approach, Fuzz-SSVS, to improve the secondary structure prediction of proteins. In this work, a Sugeno based Fuzzy System is trained to act as a voting system to combine results of several secondary structure prediction techniques and produce superior answers. Fuzz-SSVS is tested with three of the well-known benchmarks in this field. The results demonstrate the superiority of the proposed technique even in the case of formidable sequences.
ISSN:2161-5322
2161-5330
DOI:10.1109/AICCSA.2011.6126592