TopDomain dataset
| dc.contributor.author | Mulnaes, Daniel | |
| dc.contributor.author | Golchin, Pegah | |
| dc.contributor.author | Koenig, Filip | |
| dc.contributor.author | Gohlke, Holger | |
| dc.date.accessioned | 2021-02-06T13:01:38Z | |
| dc.date.available | 2021-02-06T13:01:38Z | |
| dc.date.issued | 2021 | |
| dc.description.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. | en |
| dc.identifier.uri | https://researchdata.hhu.de/handle/entry/85 | |
| dc.identifier.uri | http://dx.doi.org/10.25838/d5p-16 | |
| dc.language.iso | en | en |
| dc.publisher | N/A | en |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | Protein structure prediction | en |
| dc.subject | Boundary prediction | en |
| dc.title | TopDomain dataset | en |
| dc.type | Dataset | en |