PREDICTION OF CHIMERIC PROTEIN FOLD

Ruben Acuña, Zoé Lacroix, Fayez Hadji, Jacques Chomilier, Nikolaos Papandreou

2012

Abstract

We propose two computational methods for predicting if a protein produced by fusion of genes will conserve the structures of the fused proteins. We use two complementary paths for prediction. The former is a simulation from the sequence while the latter exploits its expected structure. Early stages of protein folding are simulated from their amino acid sequence by capturing the most interacting residues (MIR). Individual domain structures (or models) are superposed onto the predicted complex structure (or model). When no structure exists, a model is calculated using a set of ab initio and fold recognition tools. These results are used to predict the validity of the chimeric protein. We test the two methods against a dataset of 10 proteins.

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Paper Citation


in Harvard Style

Acuña R., Lacroix Z., Hadji F., Chomilier J. and Papandreou N. (2012). PREDICTION OF CHIMERIC PROTEIN FOLD . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2012) ISBN 978-989-8425-90-4, pages 234-239. DOI: 10.5220/0003790102340239


in Bibtex Style

@conference{bioinformatics12,
author={Ruben Acuña and Zoé Lacroix and Fayez Hadji and Jacques Chomilier and Nikolaos Papandreou},
title={PREDICTION OF CHIMERIC PROTEIN FOLD},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2012)},
year={2012},
pages={234-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003790102340239},
isbn={978-989-8425-90-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2012)
TI - PREDICTION OF CHIMERIC PROTEIN FOLD
SN - 978-989-8425-90-4
AU - Acuña R.
AU - Lacroix Z.
AU - Hadji F.
AU - Chomilier J.
AU - Papandreou N.
PY - 2012
SP - 234
EP - 239
DO - 10.5220/0003790102340239