Published March 4, 2022 | Version v1
Dataset Open

CATHe Dataset and Weights

Creators

  • 1. Institute of Structural and Molecular Biology, University College London
  • 2. TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology
  • 3. TUM (Technical University of Munich) Department of Informatics, Bioinformatics & Computational Biology, Institute for Advanced Study (TUM-IAS), TUM School of Life Sciences Weihenstephan (WZW)

Description

This dataset consists of the training, optimization, and testing sets used for developing the CATHe model, which is a deep learning framework capable of detecting extremely remote homologues (< 20% sequence identity) for CATH superfamilies. Additionally, the training weights for the artificial neural network present in the CATHe model have been provided.

Files

CATHe Dataset.zip

Files (2.2 GB)

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