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A review of protein–protein interaction network alignment: From pathway comparison to global alignment

Network alignment provides a comprehensive way to discover the similar parts between molecular systems of different species based on topological and biological similarity. With such a strong basis, one can do comparative studies at a systems level in the field of computational biology. In this surve...

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Detalles Bibliográficos
Autores principales: Ma, Cheng-Yu, Liao, Chung-Shou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533294/
https://www.ncbi.nlm.nih.gov/pubmed/33033584
http://dx.doi.org/10.1016/j.csbj.2020.09.011
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author Ma, Cheng-Yu
Liao, Chung-Shou
author_facet Ma, Cheng-Yu
Liao, Chung-Shou
author_sort Ma, Cheng-Yu
collection PubMed
description Network alignment provides a comprehensive way to discover the similar parts between molecular systems of different species based on topological and biological similarity. With such a strong basis, one can do comparative studies at a systems level in the field of computational biology. In this survey paper, we focus on protein–protein interaction networks and review some representative algorithms for network alignment in the past two decades as well as the state-of-the-art aligners. We also introduce the most popular evaluation measures in the literature to benchmark the performance of these approaches. Finally, we address several future challenges and the possible ways to conquer the existing problems of biological network alignment.
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spelling pubmed-75332942020-10-07 A review of protein–protein interaction network alignment: From pathway comparison to global alignment Ma, Cheng-Yu Liao, Chung-Shou Comput Struct Biotechnol J Review Article Network alignment provides a comprehensive way to discover the similar parts between molecular systems of different species based on topological and biological similarity. With such a strong basis, one can do comparative studies at a systems level in the field of computational biology. In this survey paper, we focus on protein–protein interaction networks and review some representative algorithms for network alignment in the past two decades as well as the state-of-the-art aligners. We also introduce the most popular evaluation measures in the literature to benchmark the performance of these approaches. Finally, we address several future challenges and the possible ways to conquer the existing problems of biological network alignment. Research Network of Computational and Structural Biotechnology 2020-09-18 /pmc/articles/PMC7533294/ /pubmed/33033584 http://dx.doi.org/10.1016/j.csbj.2020.09.011 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Ma, Cheng-Yu
Liao, Chung-Shou
A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title_full A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title_fullStr A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title_full_unstemmed A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title_short A review of protein–protein interaction network alignment: From pathway comparison to global alignment
title_sort review of protein–protein interaction network alignment: from pathway comparison to global alignment
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533294/
https://www.ncbi.nlm.nih.gov/pubmed/33033584
http://dx.doi.org/10.1016/j.csbj.2020.09.011
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