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Authors: Saras Saraswathi 1 ; Robert L. Jernigan 1 ; Andrzej Kloczkowski 1 and Andrzej Kolinski 2

Affiliations: 1 L. H. Baker Center for Bioinformatics and Biological Statistics, United States ; 2 Faculty of Chemistry, Warsaw University and Pasteura 1, Poland

ISBN: 978-989-8425-32-4

Keyword(s): Protein secondary structure prediction, Neural networks, Extreme learning machine, Particle swarm optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bio-Inspired and Humanoid Robotics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Supervised and Unsupervised Learning ; Support Vector Machines and Applications ; Theory and Methods

Abstract: A novel method is proposed for predicting protein secondary structure using data derived from knowledge based potentials and Neural Networks. Potential energies for amino acid sequences in proteins are calculated using protein structures. An Extreme Learning Machine classifier (ELM-PSO) is used to model and predict protein secondary structures. Classifier performance is maximized using the Particle Swarm Optimization algorithm. Preliminary results show improved results.

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Paper citation in several formats:
Saraswathi, S.; Jernigan, R.; Kloczkowski, A. and Kolinski, A. (2010). PROTEIN SECONDARY STRUCTURE PREDICTION USING KNOWLEDGE-BASED POTENTIALS.In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 370-375. DOI: 10.5220/0003086903700375

@conference{icnc10,
author={Saras Saraswathi. and Robert L. Jernigan. and Andrzej Kloczkowski. and Andrzej Kolinski.},
title={PROTEIN SECONDARY STRUCTURE PREDICTION USING KNOWLEDGE-BASED POTENTIALS},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={370-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003086903700375},
isbn={978-989-8425-32-4},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - PROTEIN SECONDARY STRUCTURE PREDICTION USING KNOWLEDGE-BASED POTENTIALS
SN - 978-989-8425-32-4
AU - Saraswathi, S.
AU - Jernigan, R.
AU - Kloczkowski, A.
AU - Kolinski, A.
PY - 2010
SP - 370
EP - 375
DO - 10.5220/0003086903700375

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