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Authors: Andreas Procopiou 1 ; Nigel M. Allinson 1 ; Gareth R. Jones 2 and David T. Clarke 2

Affiliations: 1 The University of Sheffield, United Kingdom ; 2 CCLRC Daresbury Laboratory, United Kingdom

Abstract: A new approach to predict the tertiary structure class of proteins from synchrotron radiation circular dichroism (SRCD) spectra is presented. A protein’s SRCD spectrum is first approximated using a Radial Basis Function Network (RBFN) and the resulting set is used to train different varieties of Support Vector Machine (SVM). The performance of three well known multi-class SVM schemes are evaluated and a method presented that takes into account the properties of spectra for each of the structure classes.

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Paper citation in several formats:
Procopiou, A.; M. Allinson, N.; R. Jones, G. and T. Clarke, D. (2006). Prediction of Protein Tertiary Structure Class from Synchrotron Radiation Circular Dichroism Spectra. In 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS; ISBN 978-972-8865-55-9, SciTePress, pages 58-67. DOI: 10.5220/0002478200580067

@conference{pris06,
author={Andreas Procopiou. and Nigel {M. Allinson}. and Gareth {R. Jones}. and David {T. Clarke}.},
title={Prediction of Protein Tertiary Structure Class from Synchrotron Radiation Circular Dichroism Spectra},
booktitle={6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS},
year={2006},
pages={58-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002478200580067},
isbn={978-972-8865-55-9},
}

TY - CONF

JO - 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS
TI - Prediction of Protein Tertiary Structure Class from Synchrotron Radiation Circular Dichroism Spectra
SN - 978-972-8865-55-9
AU - Procopiou, A.
AU - M. Allinson, N.
AU - R. Jones, G.
AU - T. Clarke, D.
PY - 2006
SP - 58
EP - 67
DO - 10.5220/0002478200580067
PB - SciTePress