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Authors: Hafeez Ur Rehman 1 ; Usman Zafar 1 ; Alfredo Benso 2 and Naveed Islam 3

Affiliations: 1 National University of Computer & Emerging Sciences, Pakistan ; 2 Politecnico di Torino, Italy ; 3 National University of Computer & Emerging Sciences and Islamia College University, Pakistan

ISBN: 978-989-758-170-0

Keyword(s): Protein Interactions, Protein Structure, 3D Templates, Protein Interaction Network, Protein Binding Sites.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Data Mining and Machine Learning ; Genomics and Proteomics ; Structural Bioinformatics ; Systems Biology

Abstract: In the recent days, extraordinary revolution in genome sequencing technologies have produced an overwhelming amount of genes that code for proteins, resulting in deluge of proteomics data. Since proteins are involved in almost every biological activity, therefore due to this rapid uncovering of biological “facts”, the field of System Biology now stands on the doorstep of considerable theoretical and practical advancements. Precise understanding of proteins, specially their functional associations or interactions are inevitable to explicate how complex biological processes occur at molecular level, as well as to understand how these processes are controlled and modified in different disease states. In this paper, we present a novel protein structure based method to precisely predict the interactions of two putative protein pairs. We also utilize the interspecies relationship of proteins i.e., the sequence homology, which is crucial in cases of limited information from other sources of biological data. We further enhance our model to account for protein binding sites by linking individual residues in structural templates which bind to other residues. Finally, we evaluate our model by combining different sources of information using Naive Bayes classification. The proposed model provides substantial improvements in terms of accuracy, precision, recall when compared with previous approaches. We report an accuracy of 90% when tested for a protein interaction network of yeast proteome. (More)

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Paper citation in several formats:
Rehman, H.; Zafar, U.; Benso, A. and Islam, N. (2016). A Structure based Approach for Accurate Prediction of Protein Interactions Networks.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 237-244. DOI: 10.5220/0005705002370244

@conference{bioinformatics16,
author={Hafeez Ur Rehman. and Usman Zafar. and Alfredo Benso. and Naveed Islam.},
title={A Structure based Approach for Accurate Prediction of Protein Interactions Networks},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005705002370244},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS, (BIOSTEC 2016)
TI - A Structure based Approach for Accurate Prediction of Protein Interactions Networks
SN - 978-989-758-170-0
AU - Rehman, H.
AU - Zafar, U.
AU - Benso, A.
AU - Islam, N.
PY - 2016
SP - 237
EP - 244
DO - 10.5220/0005705002370244

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