Publication:
HMI-PRED: a web server for structural prediction of host-microbe interactions based on interface mimicry

dc.contributor.coauthorGuven-Maiorov, Emine
dc.contributor.coauthorHakouz, Asma
dc.contributor.coauthorValjevac, Sukejna
dc.contributor.coauthorTsai, Chung-Jung
dc.contributor.coauthorNussinov, Ruth
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:04:49Z
dc.date.issued2020
dc.description.abstractMicrobes, commensals, and pathogens, control the numerous functions in the host cells. They can alter host signaling and modulate immune surveillance by interacting with the host proteins. For shedding light on the contribution of microbes to health and disease, it is vital to discern how microbial proteins rewire host signaling and through which host proteins they do this. Host-Microbe Interaction PREDictor (HMI-PRED) is a user-friendly web server for structural prediction of protein-protein interactions (PPIs) between the host and a microbial species, including bacteria, viruses, fungi, and protozoa. HMI-PRED relies on "interface mimicry" through which the microbial proteins hijack host binding surfaces. Given the structure of a microbial protein of interest, HMI-PRED will return structural models of potential host-microbe interaction (HMI) complexes, the list of host endogenous and exogenous PPIs that can be disrupted, and tissue expression of the microbe-targeted host proteins. The server also allows users to upload homology models of microbial proteins. Broadly, it aims at large-scale, efficient identification of HMIs. The prediction results are stored in a repository for community access.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue11
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipNational Cancer Institute, National Institutes of Health [HHSN261200800001E]
dc.description.sponsorshipIntramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research
dc.description.sponsorshipNATIONAL CANCER INSTITUTE [ZIABC010442, ZIABC010441, ZIABC010440] Funding Source: NIH RePORTER This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under contract number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. This research was supported (in part) by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.
dc.description.volume432
dc.identifier.doi10.1016/j.jmb.2020.01.025
dc.identifier.eissn1089-8638
dc.identifier.issn0022-2836
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85080101740
dc.identifier.urihttps://doi.org/10.1016/j.jmb.2020.01.025
dc.identifier.urihttps://hdl.handle.net/20.500.14288/8698
dc.identifier.wos536776300006
dc.keywordsHost-microbe interaction
dc.keywordsHmi
dc.keywordsHost-pathogen interaction
dc.keywordsHpi
dc.keywordsInterface mimicry
dc.keywordsComputational prediction
dc.keywordsModeling
dc.keywordsProtein-protein interaction
dc.keywordsStructure
dc.keywordsProtein-protein interactions
dc.keywordsDocking
dc.keywordsSimilarities
dc.keywordsRepository
dc.keywordsAlignment
dc.keywordsSequence
dc.language.isoeng
dc.publisherAcademic Press Ltd- Elsevier Science Ltd
dc.relation.ispartofJournal of Molecular Biology
dc.subjectBiochemistry
dc.subjectMolecular biology
dc.titleHMI-PRED: a web server for structural prediction of host-microbe interactions based on interface mimicry
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKeskin, Özlem
local.contributor.kuauthorGürsoy, Attila
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Chemical and Biological Engineering
local.publication.orgunit2Department of Computer Engineering
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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