Dockground: A comprehensive data resource for modeling of protein complexes. (10th October 2017)
- Record Type:
- Journal Article
- Title:
- Dockground: A comprehensive data resource for modeling of protein complexes. (10th October 2017)
- Main Title:
- Dockground: A comprehensive data resource for modeling of protein complexes
- Authors:
- Kundrotas, Petras J.
Anishchenko, Ivan
Dauzhenka, Taras
Kotthoff, Ian
Mnevets, Daniil
Copeland, Matthew M.
Vakser, Ilya A. - Abstract:
- Abstract: Characterization of life processes at the molecular level requires structural details of protein interactions. The number of experimentally determined structures of protein–protein complexes accounts only for a fraction of known protein interactions. This gap in structural description of the interactome has to be bridged by modeling. An essential part of the development of structural modeling/docking techniques for protein interactions is databases of protein–protein complexes. They are necessary for studying protein interfaces, providing a knowledge base for docking algorithms, and developing intermolecular potentials, search procedures, and scoring functions. Development of protein–protein docking techniques requires thorough benchmarking of different parts of the docking protocols on carefully curated sets of protein–protein complexes. We present a comprehensive description of the Dockground resource (http://dockground.compbio.ku.edu ) for structural modeling of protein interactions, including previously unpublished unbound docking benchmark set 4, and the X‐ray docking decoy set 2. The resource offers a variety of interconnected datasets of protein–protein complexes and other data for the development and testing of different aspects of protein docking methodologies. Based on protein–protein complexes extracted from the PDB biounit files, Dockground offers sets of X‐ray unbound, simulated unbound, model, and docking decoy structures. All datasets are freelyAbstract: Characterization of life processes at the molecular level requires structural details of protein interactions. The number of experimentally determined structures of protein–protein complexes accounts only for a fraction of known protein interactions. This gap in structural description of the interactome has to be bridged by modeling. An essential part of the development of structural modeling/docking techniques for protein interactions is databases of protein–protein complexes. They are necessary for studying protein interfaces, providing a knowledge base for docking algorithms, and developing intermolecular potentials, search procedures, and scoring functions. Development of protein–protein docking techniques requires thorough benchmarking of different parts of the docking protocols on carefully curated sets of protein–protein complexes. We present a comprehensive description of the Dockground resource (http://dockground.compbio.ku.edu ) for structural modeling of protein interactions, including previously unpublished unbound docking benchmark set 4, and the X‐ray docking decoy set 2. The resource offers a variety of interconnected datasets of protein–protein complexes and other data for the development and testing of different aspects of protein docking methodologies. Based on protein–protein complexes extracted from the PDB biounit files, Dockground offers sets of X‐ray unbound, simulated unbound, model, and docking decoy structures. All datasets are freely available for download, as a whole or selecting specific structures, through a user‐friendly interface on one integrated website. … (more)
- Is Part Of:
- Protein science. Volume 27:Number 1(2018)
- Journal:
- Protein science
- Issue:
- Volume 27:Number 1(2018)
- Issue Display:
- Volume 27, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 27
- Issue:
- 1
- Issue Sort Value:
- 2018-0027-0001-0000
- Page Start:
- 172
- Page End:
- 181
- Publication Date:
- 2017-10-10
- Subjects:
- protein recognition -- protein–protein interactions -- structure prediction -- benchmark sets
Proteins -- Periodicals
572.6 - Journal URLs:
- http://www.proteinscience.org/ ↗
http://www3.interscience.wiley.com/journal/121502357/ ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1002/pro.3295 ↗
- Languages:
- English
- ISSNs:
- 0961-8368
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.105500
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8951.xml