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UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686569/ https://www.ncbi.nlm.nih.gov/pubmed/18984619 http://dx.doi.org/10.1093/nar/gkn841 |
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author | Chaurasia, Gautam Malhotra, Soniya Russ, Jenny Schnoegl, Sigrid Hänig, Christian Wanker, Erich E. Futschik, Matthias E. |
author_facet | Chaurasia, Gautam Malhotra, Soniya Russ, Jenny Schnoegl, Sigrid Hänig, Christian Wanker, Erich E. Futschik, Matthias E. |
author_sort | Chaurasia, Gautam |
collection | PubMed |
description | Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ∼22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies. |
format | Text |
id | pubmed-2686569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26865692009-05-26 UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome Chaurasia, Gautam Malhotra, Soniya Russ, Jenny Schnoegl, Sigrid Hänig, Christian Wanker, Erich E. Futschik, Matthias E. Nucleic Acids Res Articles Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ∼22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies. Oxford University Press 2009-01 2008-11-04 /pmc/articles/PMC2686569/ /pubmed/18984619 http://dx.doi.org/10.1093/nar/gkn841 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Chaurasia, Gautam Malhotra, Soniya Russ, Jenny Schnoegl, Sigrid Hänig, Christian Wanker, Erich E. Futschik, Matthias E. UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title | UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title_full | UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title_fullStr | UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title_full_unstemmed | UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title_short | UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome |
title_sort | unihi 4: new tools for query, analysis and visualization of the human protein–protein interactome |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686569/ https://www.ncbi.nlm.nih.gov/pubmed/18984619 http://dx.doi.org/10.1093/nar/gkn841 |
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