http://dx.doi.org/10.25838/d5p-16
Title: | TopDomain dataset |
Authors: | Mulnaes, Daniel Golchin, Pegah Koenig, Filip Gohlke, Holger |
Keywords: | Protein structure prediction Boundary prediction |
Issue Date: | 2021 |
Publisher: | N/A |
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. |
URI: | https://researchdata.hhu.de/handle/entry/85 http://dx.doi.org/10.25838/d5p-16 |
Appears in Collections: | Computational Pharmaceutical Chemistry and Molecular Informatics Group |
File | Description | Size | Format | |
---|---|---|---|---|
topdomain_dataset_1.0.tar.gz | 1.12 MB | Unknown | View/Open |
This item is licensed under a Creative Commons License