Published May 16, 2024 | Version v1

[Accompanying Dataset for PHIStruct] ColabFold-Predicted Structures of Receptor-Binding Proteins

  • 1. ROR icon De La Salle University
  • 2. ROR icon Walter and Eliza Hall Institute of Medical Research
  • 1. ROR icon De La Salle University
  • 2. ROR icon Walter and Eliza Hall Institute of Medical Research

Description

This dataset contains protein structures, computationally predicted via ColabFold, of 19,081 non-redundant (i.e., with duplicates removed) receptor-binding proteins from 8,525 phages across 238 host genera. We identified these receptor-binding proteins based on GenBank annotations. For phage sequences without GenBank annotations, we employed a pipeline that uses the viral protein library PHROG and the machine learning model PhageRBPdetect

More details can be found in our paper "PHIStruct: Improving phage-host interaction prediction at low sequence similarity settings using structure-aware protein embeddings." The project page is https://github.com/bioinfodlsu/PHIStruct. Our paper is published in Bioinformatics: https://doi.org/10.1093/bioinformatics/btaf016

Our research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC) and with computing resources from the Machine Learning eResearch Platform (MLeRP) of Monash University, University of Queensland, and Queensland Cyber Infrastructure Foundation Ltd.

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Additional details

Related works

Is published in
Journal article: 10.1093/bioinformatics/btaf016 (DOI)
Is supplement to
Software: https://github.com/bioinfodlsu/PHIStruct (URL)