MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/44742 |
Resumo: | The Mechanism of Action of the Human Microbiome (MAHMI) database is a unique resource that provides comprehensive information about the sequence of potential immunomodulatory and antiproliferative peptides encrypted in the proteins produced by the human gut microbiota. Currently, MAHMI database contains over 300 hundred million peptide entries, with detailed information about peptide sequence, sources and potential bioactivity. The reference peptide data section is curated manually by domain experts. The in silico peptide data section is populated automatically through the systematic processing of publicly available exoproteomes of the human microbiome. Bioactivity prediction is based on the global alignment of the automatically processed peptides with experimentally validated immunomodulatory and antiproliferative peptides, in the reference section. MAHMI provides researchers with a comparative tool for inspecting the potential immunomodulatory or antiproliferative bioactivity of new amino acidic sequences and identifying promising peptides to be further investigated. Moreover, researchers are welcome to submit new experimental evidence on peptide bioactivity, namely, empiric and structural data, as a proactive, expert means to keep the database updated and improve the implemented bioactivity prediction method. Bioactive peptides identified by MAHMI have a huge biotechnological potential, including the manipulation of aberrant immune responses and the design of new functional ingredients/foods based on the genetic sequences of the human microbiome. Hopefully, the resources provided by MAHMI will be useful to those researching gastrointestinal disorders of autoimmune and inflammatory nature, such as Inflammatory Bowel Diseases. MAHMI database is routinely updated and is available free of charge. |
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MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiotaScience & TechnologyThe Mechanism of Action of the Human Microbiome (MAHMI) database is a unique resource that provides comprehensive information about the sequence of potential immunomodulatory and antiproliferative peptides encrypted in the proteins produced by the human gut microbiota. Currently, MAHMI database contains over 300 hundred million peptide entries, with detailed information about peptide sequence, sources and potential bioactivity. The reference peptide data section is curated manually by domain experts. The in silico peptide data section is populated automatically through the systematic processing of publicly available exoproteomes of the human microbiome. Bioactivity prediction is based on the global alignment of the automatically processed peptides with experimentally validated immunomodulatory and antiproliferative peptides, in the reference section. MAHMI provides researchers with a comparative tool for inspecting the potential immunomodulatory or antiproliferative bioactivity of new amino acidic sequences and identifying promising peptides to be further investigated. Moreover, researchers are welcome to submit new experimental evidence on peptide bioactivity, namely, empiric and structural data, as a proactive, expert means to keep the database updated and improve the implemented bioactivity prediction method. Bioactive peptides identified by MAHMI have a huge biotechnological potential, including the manipulation of aberrant immune responses and the design of new functional ingredients/foods based on the genetic sequences of the human microbiome. Hopefully, the resources provided by MAHMI will be useful to those researching gastrointestinal disorders of autoimmune and inflammatory nature, such as Inflammatory Bowel Diseases. MAHMI database is routinely updated and is available free of charge.This work was funded by the Grant AGL2013-44039-R from the Spanish “Plan Estatal de IþDþI”, and the Grant EM2014/046 from the “Plan Galego de investigaci on, innovaci on e crecemento 2011-2015”. Borja S anchez was recipient of a Ram on y Cajal postdoctoral contract from the Spanish Ministry of Economy and Competitiveness. This work was also partially funded by the [14VI05] ContractProgramme from the University of Vigo and the Agrupamento INBIOMED from DXPCTSUG-FEDER unha maneira de facer Europa (2012/273) and the European Union’s Seventh Framework Programme FP7/REGPOT-2012-2013.1 under grant agreement n 316265, BIOCAPS. This document reflects only the author’s views and the European Union is not liable for any use that may be made of the information contained herein.Oxford University PressUniversidade do MinhoBlanco-Míguez, AitorGutiérrez-Jácome, AlbertoFdez-Riverola, FlorentinoLourenço, AnáliaSánchez, Borja20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/44742engBlanco-Míguez, Aitor; Gutiérrez-Jácome, Alberto; Fdez-Riverola, Florentino; Lourenço, Anália; Sánchez, Borja, MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota. Database - The Journal of Biological Databases and Curation, 2017(1), baw157, 20171758-04631758-046310.1093/database/baw15728077565http://database.oxfordjournals.org/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:38:37Zoai:repositorium.sdum.uminho.pt:1822/44742Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:35:06.912304Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
title |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
spellingShingle |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota Blanco-Míguez, Aitor Science & Technology |
title_short |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
title_full |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
title_fullStr |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
title_full_unstemmed |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
title_sort |
MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota |
author |
Blanco-Míguez, Aitor |
author_facet |
Blanco-Míguez, Aitor Gutiérrez-Jácome, Alberto Fdez-Riverola, Florentino Lourenço, Anália Sánchez, Borja |
author_role |
author |
author2 |
Gutiérrez-Jácome, Alberto Fdez-Riverola, Florentino Lourenço, Anália Sánchez, Borja |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Blanco-Míguez, Aitor Gutiérrez-Jácome, Alberto Fdez-Riverola, Florentino Lourenço, Anália Sánchez, Borja |
dc.subject.por.fl_str_mv |
Science & Technology |
topic |
Science & Technology |
description |
The Mechanism of Action of the Human Microbiome (MAHMI) database is a unique resource that provides comprehensive information about the sequence of potential immunomodulatory and antiproliferative peptides encrypted in the proteins produced by the human gut microbiota. Currently, MAHMI database contains over 300 hundred million peptide entries, with detailed information about peptide sequence, sources and potential bioactivity. The reference peptide data section is curated manually by domain experts. The in silico peptide data section is populated automatically through the systematic processing of publicly available exoproteomes of the human microbiome. Bioactivity prediction is based on the global alignment of the automatically processed peptides with experimentally validated immunomodulatory and antiproliferative peptides, in the reference section. MAHMI provides researchers with a comparative tool for inspecting the potential immunomodulatory or antiproliferative bioactivity of new amino acidic sequences and identifying promising peptides to be further investigated. Moreover, researchers are welcome to submit new experimental evidence on peptide bioactivity, namely, empiric and structural data, as a proactive, expert means to keep the database updated and improve the implemented bioactivity prediction method. Bioactive peptides identified by MAHMI have a huge biotechnological potential, including the manipulation of aberrant immune responses and the design of new functional ingredients/foods based on the genetic sequences of the human microbiome. Hopefully, the resources provided by MAHMI will be useful to those researching gastrointestinal disorders of autoimmune and inflammatory nature, such as Inflammatory Bowel Diseases. MAHMI database is routinely updated and is available free of charge. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/44742 |
url |
http://hdl.handle.net/1822/44742 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Blanco-Míguez, Aitor; Gutiérrez-Jácome, Alberto; Fdez-Riverola, Florentino; Lourenço, Anália; Sánchez, Borja, MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota. Database - The Journal of Biological Databases and Curation, 2017(1), baw157, 2017 1758-0463 1758-0463 10.1093/database/baw157 28077565 http://database.oxfordjournals.org/ |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
publisher.none.fl_str_mv |
Oxford University Press |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132875967168512 |