A viral-human interactome based on structural motif-domain interactions captures the human infectome.
Protein interactions between a pathogen and its host are fundamental in the establishment of the pathogen and underline the infection mechanism. In the present work, we developed a single predictive model for building a host-viral interactome based on the identification of structural descriptors fro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3738538?pdf=render |
| _version_ | 1811230562922266624 |
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| author | Aldo Segura-Cabrera Carlos A García-Pérez Xianwu Guo Mario A Rodríguez-Pérez |
| author_facet | Aldo Segura-Cabrera Carlos A García-Pérez Xianwu Guo Mario A Rodríguez-Pérez |
| author_sort | Aldo Segura-Cabrera |
| collection | DOAJ |
| description | Protein interactions between a pathogen and its host are fundamental in the establishment of the pathogen and underline the infection mechanism. In the present work, we developed a single predictive model for building a host-viral interactome based on the identification of structural descriptors from motif-domain interactions of protein complexes deposited in the Protein Data Bank (PDB). The structural descriptors were used for searching, in a database of protein sequences of human and five clinically important viruses; therefore, viral and human proteins sharing a descriptor were predicted as interacting proteins. The analysis of the host-viral interactome allowed to identify a set of new interactions that further explain molecular mechanism associated with viral infections and showed that it was able to capture human proteins already associated to viral infections (human infectome) and non-infectious diseases (human diseasome). The analysis of human proteins targeted by viral proteins in the context of a human interactome showed that their neighbors are enriched in proteins reported with differential expression under infection and disease conditions. It is expected that the findings of this work will contribute to the development of systems biology for infectious diseases, and help guide the rational identification and prioritization of novel drug targets. |
| first_indexed | 2024-04-12T10:30:31Z |
| format | Article |
| id | doaj.art-75a92e5da2bf4e51a52cb39966ec1f8b |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T10:30:31Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-75a92e5da2bf4e51a52cb39966ec1f8b2022-12-22T03:36:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0188e7152610.1371/journal.pone.0071526A viral-human interactome based on structural motif-domain interactions captures the human infectome.Aldo Segura-CabreraCarlos A García-PérezXianwu GuoMario A Rodríguez-PérezProtein interactions between a pathogen and its host are fundamental in the establishment of the pathogen and underline the infection mechanism. In the present work, we developed a single predictive model for building a host-viral interactome based on the identification of structural descriptors from motif-domain interactions of protein complexes deposited in the Protein Data Bank (PDB). The structural descriptors were used for searching, in a database of protein sequences of human and five clinically important viruses; therefore, viral and human proteins sharing a descriptor were predicted as interacting proteins. The analysis of the host-viral interactome allowed to identify a set of new interactions that further explain molecular mechanism associated with viral infections and showed that it was able to capture human proteins already associated to viral infections (human infectome) and non-infectious diseases (human diseasome). The analysis of human proteins targeted by viral proteins in the context of a human interactome showed that their neighbors are enriched in proteins reported with differential expression under infection and disease conditions. It is expected that the findings of this work will contribute to the development of systems biology for infectious diseases, and help guide the rational identification and prioritization of novel drug targets.http://europepmc.org/articles/PMC3738538?pdf=render |
| spellingShingle | Aldo Segura-Cabrera Carlos A García-Pérez Xianwu Guo Mario A Rodríguez-Pérez A viral-human interactome based on structural motif-domain interactions captures the human infectome. PLoS ONE |
| title | A viral-human interactome based on structural motif-domain interactions captures the human infectome. |
| title_full | A viral-human interactome based on structural motif-domain interactions captures the human infectome. |
| title_fullStr | A viral-human interactome based on structural motif-domain interactions captures the human infectome. |
| title_full_unstemmed | A viral-human interactome based on structural motif-domain interactions captures the human infectome. |
| title_short | A viral-human interactome based on structural motif-domain interactions captures the human infectome. |
| title_sort | viral human interactome based on structural motif domain interactions captures the human infectome |
| url | http://europepmc.org/articles/PMC3738538?pdf=render |
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