Title |
CrossDocker: a tool for performing cross-docking using Autodock Vina
|
---|---|
Published in |
SpringerPlus, March 2016
|
DOI | 10.1186/s40064-016-1972-4 |
Pubmed ID | |
Authors |
Jamal Shamsara |
Abstract |
Cross-docking is an approach to find the best holo structures among multiple structures available for a target protein. CrossDocker significantly decreases the time needed for setting parameters and inputs for performing multiple dockings, data collection and subsequent analysis. CrossDocker was written in Python language and is available as executable binary for Windows operating system. It is available at http://www.pharm-sbg.com. Some example data sets were also provided. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
China | 1 | 1% |
Germany | 1 | 1% |
Unknown | 70 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 15% |
Researcher | 9 | 12% |
Student > Master | 9 | 12% |
Student > Bachelor | 8 | 11% |
Professor | 6 | 8% |
Other | 9 | 12% |
Unknown | 21 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 17 | 23% |
Biochemistry, Genetics and Molecular Biology | 12 | 16% |
Agricultural and Biological Sciences | 6 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
Computer Science | 4 | 5% |
Other | 5 | 7% |
Unknown | 24 | 33% |