Research data supporting the study titled 'Large Scale Discovery of Microbial Fibrillar Adhesins and Identification of Novel Members of Adhesive Domain Families'.
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Monzon, V., & Bateman, A. (2022). Research data supporting the study titled 'Large Scale Discovery of Microbial Fibrillar Adhesins and Identification of Novel Members of Adhesive Domain Families'. [Dataset]. https://doi.org/10.17863/CAM.82322
This 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.
The 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).
Fibrillar adhesins, Host-pathogen interaction, RandomForest classification, Protein domain families, Adhesive domains, Structure prediction methods, AlphaFold2
This record's DOI: https://doi.org/10.17863/CAM.82322
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/