NPDock: A web server for protein-nucleic acid docking
Authors:
- Irina Tuszynska,
- Marcin Magnus,
- Katarzyna Jonak,
- Wayne Dawson,
- Janusz Marek Bujnicki
Abstract
Protein-RNA and protein-DNA interactions play fundamental roles in many biological processes. A detailed understanding of these interactions requires knowledge about protein-nucleic acid complex structures. Because the experimental determination of these complexes is time-consuming and perhaps futile in some instances, we have focused on computational docking methods starting from the separate structures. Docking methods arewidely employed to study protein-protein interactions; however, only a few methods have been made available to model protein-nucleic acid complexes. Here, we describe NPDock (Nucleic acid-Protein Docking); a novel web server for predicting complexes of protein-nucleic acid structures which implements a computational workflow that includes docking, scoring of poses, clustering of the best-scored models and refinement of the most promising solutions. The NPDock server provides a user-friendly interface and 3D visualization of the results. The smallest set of input data consists of a protein structure and a DNA or RNA structure in PDB format. Advanced options are available to control specific details of the docking process and obtain intermediate results. The web server is available at http://genesilico.pl/NPDock.
- Record ID
- UAM12504078923c4ede85ad2f6e754f0050
- Author
- Journal series
- Nucleic Acids Research, ISSN 0305-1048
- Issue year
- 2015
- Vol
- 43
- Pages
- W425-W430
- ASJC Classification
- DOI
- DOI:10.1093/nar/gkv493 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 40
- Score source
- journalList
- Score
- Publication indicators
- = 65; = 112; : 2015 = 2.639; : 2015 (2 years) = 9.202 - 2015 (5 years) =8.647
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM12504078923c4ede85ad2f6e754f0050/
- URN
urn:amu-prod:UAM12504078923c4ede85ad2f6e754f0050
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.