| Chapter title |
The ProFunc Function Prediction Server
|
|---|---|
| Chapter number | 7 |
| Book title |
Protein Function Prediction
|
| Published in |
Methods in molecular biology, April 2017
|
| DOI | 10.1007/978-1-4939-7015-5_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7013-1, 978-1-4939-7015-5
|
| Authors |
Roman A. Laskowski |
| Editors |
Daisuke Kihara |
| Abstract |
The ProFunc web server is a tool for helping identify the function of a given protein whose 3D coordinates have been experimentally determined or homology modeled. It uses a cocktail of both sequence- and structure-based methods to identify matches to other proteins that may, in turn, suggest the query protein's most likely function. The server was originally developed to aid the worldwide structural genomics effort at the start of the millennium. It accepts a file containing the protein's 3D coordinates in PDB format, and, when processing is complete, sends an email containing a link to the password-protected result pages. The results include an at-a-glance summary, as well as separate pages containing more detailed analyses. The server can be found at: http://www.ebi.ac.uk/thornton-srv/databases/profunc . |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 29% |
| Student > Master | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 29% |
| Psychology | 1 | 14% |
| Unknown | 4 | 57% |