Published July 1, 2005
| Published
Journal Article
Open
SCRATCH: a protein structure and structural feature prediction server
Abstract
SCRATCH is a server for predicting protein tertiary structure and structural features. The SCRATCH software suite includes predictors for secondary structure, relative solvent accessibility, disordered regions, domains, disulfide bridges, single mutation stability, residue contacts versus average, individual residue contacts and tertiary structure. The user simply provides an amino acid sequence and selects the desired predictions, then submits to the server. Results are emailed to the user. The server is available at http://www.igb.uci.edu/servers/psss.html .
Additional Information
© The Author 2005. Published by Oxford University Press. All rights reserved . The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. Received: 13 February 2005; Revision received: 14 March 2005; Accepted: 14 March 2005; Published: 01 July 2005. Work supported by a Laurel Wilkening Faculty Innovation award, an NIH Biomedical Informatics Training grant (LM-07443-01), an NSF MRI grant (EIA-0321390), a Sun Microsystems award, a grant from the University of California Systemwide Biotechnology Research and Education Program, and by the Institute for Genomics and Bioinformatics at UCI. Funding to pay the Open Access publication charges for this article was provided by NIH Biomedical Informatics Training grant (LM-07443-01). Conflict of interest statement . None declared.Attached Files
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Additional details
- PMCID
- PMC1160157
- Eprint ID
- 103022
- Resolver ID
- CaltechAUTHORS:20200506-085432552
- Laurel Wilkening Faculty Innovation Award
- LM-07443-01
- NIH
- EIA-0321390
- NSF
- Sun Microsystems, Inc.
- University of California, Irvine
- Created
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2020-05-06Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field