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Article
Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials
BMC Bioinformatics
  • Yaping Feng, Iowa State University
  • Andrzej Kloczkowski, Iowa State University
  • Robert L. Jernigan, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-2010
DOI
10.1186/1471-2105-11-92
Abstract

Background

Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, protein design, and many other purposes. However generally these are not readily accessible online. Results

Our new knowledge-based potential server makes available many of these potentials for easy use to automatically compute the energies of protein structures or models supplied. Our web server for protein energy estimation uses four-body potentials, short-range potentials, and 23 different two-body potentials. Users can select potentials according to their needs and preferences. Files containing the coordinates of protein atoms in the PDB format can be uploaded as input. The results will be returned to the user's email address. Conclusions

Our Potentials 'R'Us server is an easily accessible, freely available tool with a web interface that collects all existing and future protein coarse-grained potentials and computes energies of multiple structural models.

Comments

This article is published as Feng, Yaping, Andrzej Kloczkowski, and Robert L. Jernigan. "Potentials' R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials." BMC bioinformatics 11, no. 1 (2010): 92. doi: 10.1186/1471-2105-11-92. Posted with permission.

Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
Feng et al
Language
en
File Format
application/pdf
Citation Information
Yaping Feng, Andrzej Kloczkowski and Robert L. Jernigan. "Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials" BMC Bioinformatics Vol. 11 Iss. 1 (2010) p. 92
Available at: http://works.bepress.com/robert-jernigan/57/