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Analyzing of Molecular Networks for Human Diseases and Drug Discovery

Molecular networks represent the interactions and relations of genes/proteins, and also encode molecular mechanisms of biological processes, development and diseases. Among the molecular networks, protein-protein Interaction Networks (PINs) have become effective platforms for uncovering the molecula...

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Autores principales: Hao, Tong, Wang, Qian, Zhao, Lingxuan, Wu, Dan, Wang, Edwin, Sun, Jinsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174636/
https://www.ncbi.nlm.nih.gov/pubmed/30101711
http://dx.doi.org/10.2174/1568026618666180813143408
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author Hao, Tong
Wang, Qian
Zhao, Lingxuan
Wu, Dan
Wang, Edwin
Sun, Jinsheng
author_facet Hao, Tong
Wang, Qian
Zhao, Lingxuan
Wu, Dan
Wang, Edwin
Sun, Jinsheng
author_sort Hao, Tong
collection PubMed
description Molecular networks represent the interactions and relations of genes/proteins, and also encode molecular mechanisms of biological processes, development and diseases. Among the molecular networks, protein-protein Interaction Networks (PINs) have become effective platforms for uncovering the molecular mechanisms of diseases and drug discovery. PINs have been constructed for various organisms and utilized to solve many biological problems. In human, most proteins present their complex functions by interactions with other proteins, and the sum of these interactions represents the human protein interactome. Especially in the research on human disease and drugs, as an emerging tool, the PIN provides a platform to systematically explore the molecular complexities of specific diseases and the references for drug design. In this review, we summarized the commonly used approaches to aid disease research and drug discovery with PINs, including the network topological analysis, identification of novel pathways, drug targets and sub-network biomarkers for diseases. With the development of bioinformatic techniques and biological networks, PINs will play an increasingly important role in human disease research and drug discovery.
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spelling pubmed-61746362018-10-26 Analyzing of Molecular Networks for Human Diseases and Drug Discovery Hao, Tong Wang, Qian Zhao, Lingxuan Wu, Dan Wang, Edwin Sun, Jinsheng Curr Top Med Chem Article Molecular networks represent the interactions and relations of genes/proteins, and also encode molecular mechanisms of biological processes, development and diseases. Among the molecular networks, protein-protein Interaction Networks (PINs) have become effective platforms for uncovering the molecular mechanisms of diseases and drug discovery. PINs have been constructed for various organisms and utilized to solve many biological problems. In human, most proteins present their complex functions by interactions with other proteins, and the sum of these interactions represents the human protein interactome. Especially in the research on human disease and drugs, as an emerging tool, the PIN provides a platform to systematically explore the molecular complexities of specific diseases and the references for drug design. In this review, we summarized the commonly used approaches to aid disease research and drug discovery with PINs, including the network topological analysis, identification of novel pathways, drug targets and sub-network biomarkers for diseases. With the development of bioinformatic techniques and biological networks, PINs will play an increasingly important role in human disease research and drug discovery. Bentham Science Publishers 2018-05 2018-05 /pmc/articles/PMC6174636/ /pubmed/30101711 http://dx.doi.org/10.2174/1568026618666180813143408 Text en © 2018 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Hao, Tong
Wang, Qian
Zhao, Lingxuan
Wu, Dan
Wang, Edwin
Sun, Jinsheng
Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title_full Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title_fullStr Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title_full_unstemmed Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title_short Analyzing of Molecular Networks for Human Diseases and Drug Discovery
title_sort analyzing of molecular networks for human diseases and drug discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174636/
https://www.ncbi.nlm.nih.gov/pubmed/30101711
http://dx.doi.org/10.2174/1568026618666180813143408
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