TopDomain dataset
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Date
2021
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Abstract
This is the TopDomain dataset as described in: "TopDomain: Exhaustive Protein Domain
Boundary Meta-Prediction Combining Multi-Source Information and Deep Learning" by Daniel Mulnaes, Pegah Golchin, Filip Koenig, and Holger Gohlke. This dataset contains two folder: training_set : Contains the fasta files of the TopDomain training set; test_set: Contains the fasta files of the TopDomain test set. Each fasta file has a header with three fields, in the following format: ">system_name|domain_type|boundary_list". Where:
system_name contains the PDB ID and chain ID of the target protein; domain_type contains target type, either single-domain or multi-domain; boundary_list contains a list of residues annotated as domain boundaries separated by spaces, this field is empty for single-domain proteins as they have no domain boundaries.
The sequence is the fasta-sequence of the protein, each line contains at most 100 residues of the protein sequence. No protein in the test set shares more than 20% sequence identity to any protein in the training set.
Description
Keywords
Protein structure prediction, Boundary prediction