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dc.contributor.authorMonzon, Vivian
dc.contributor.authorBateman, Alex
dc.date.accessioned2022-03-15T10:30:54Z
dc.date.available2022-03-15T10:30:54Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/335004
dc.descriptionThis repository includes the potential Fibrillar Adhesin-like (FA-like) proteins in Firmicutes and Actinobacteria, which where predicted within this study using a Random Forest classification approach. Next to the UniProt protein identifier, the calculated feature properties are given. Additionally, this repository contains the pdb files of the N-terminal clusters in Firmicutes, which were found in the predicted FA-like proteins with minimal 4 known stalk domains and no known adhesive domain. The structures were predicted using AlphaFold2.
dc.formatThe FA-like proteins were predicted with a Random Forest classification approach (https://github.com/VivianMonzon/FAL_prediction). The structures were predicted using AlphaFold2 (https://www.nature.com/articles/s41586-021-03819-2).
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectFibrillar adhesins
dc.subjectHost-pathogen interaction
dc.subjectRandomForest classification
dc.subjectProtein domain families
dc.subjectAdhesive domains
dc.subjectStructure prediction methods
dc.subjectAlphaFold2
dc.titleResearch data supporting the study titled 'Large Scale Discovery of Microbial Fibrillar Adhesins and Identification of Novel Members of Adhesive Domain Families'.
dc.typeDataset
dc.publisher.departmentEuropean Bioinformatics Institute Student
dc.date.updated2022-03-11T10:43:35Z
dc.identifier.doi10.17863/CAM.82322
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisorBateman, Alex
dcterms.formattsv, pdb
rioxxterms.typeOther
cam.depositDate2022-03-11
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)