MONSTER: Minnesota prOteiN Sequence annotaTion servER

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Published Date

Publisher

Type

Abstract

Summary: MONSTER is a server for predicting the local structure and function properties of protein sequences. MONSTER provides residue-wise annotation services, that include secondary structure, transmembrane-helix region, disorder region, protein-dna binding site, local structure alphabet, solvent accessibility surface area, and residue-wise contact order prediction. MONSTER uses sequence-derived information (in the form of PSI-BLAST profiles), a window-based encoding scheme with an accurate kernel function to perform the classification or estimation. The user provides an amino acid sequence and selects the desired predictions, and submits a job to the MONSTER server. The results are emailed to the user as a link directing the user to a well formatted HTML output page. Availability: http://bio.dtc.umn.edu/monster

Keywords

Description

Related to

Replaces

License

Series/Report Number

Technical Report; 08-010

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Rangwala, Huzefa; Karypis, George. (2008). MONSTER: Minnesota prOteiN Sequence annotaTion servER. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215753.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.