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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2018
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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. |
format | Online Article Text |
id | pubmed-6174636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
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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