The FunFOLD2 server for the prediction of protein-ligand interactions

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Roche, D. B., Buenavista, M. T. and McGuffin, L. J. orcid id iconORCID: https://orcid.org/0000-0003-4501-4767 (2013) The FunFOLD2 server for the prediction of protein-ligand interactions. Nucleic Acids Research, 41 (W1). W303-W307. ISSN 1362-4962 doi: 10.1093/nar/gkt498

Abstract/Summary

The FunFOLD2 server is a new independent server that integrates our novel protein–ligand binding site and quality assessment protocols for the prediction of protein function (FN) from sequence via structure. Our guiding principles were, first, to provide a simple unified resource to make our function prediction software easily accessible to all via a simple web interface and, second, to produce integrated output for predictions that can be easily interpreted. The server provides a clean web interface so that results can be viewed on a single page and interpreted by non-experts at a glance. The output for the prediction is an image of the top predicted tertiary structure annotated to indicate putative ligand-binding site residues. The results page also includes a list of the most likely binding site residues and the types of predicted ligands and their frequencies in similar structures. The protein–ligand interactions can also be interactively visualized in 3D using the Jmol plug-in. The raw machine readable data are provided for developers, which comply with the Critical Assessment of Techniques for Protein Structure Prediction data standards for FN predictions. The FunFOLD2 webserver is freely available to all at the following web site: http://www.reading.ac.uk/bioinf/FunFOLD/FunFOLD_form_2_0.html.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/32882
Identification Number/DOI 10.1093/nar/gkt498
Refereed Yes
Divisions Interdisciplinary centres and themes > Institute for Cardiovascular and Metabolic Research (ICMR)
Life Sciences > School of Biological Sciences > Biomedical Sciences
Publisher Oxford University Press
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar