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TMpro web server and web service: transmembrane helix prediction through amino acid property analysis
Author(s) -
Madhavi K. Ganapathiraju,
Christopher Jon Jursa,
Hassan A. Karimi,
Judith KleinSeetharaman
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm398
Subject(s) - computer science , interface (matter) , graphical user interface , transmembrane domain , chart , user interface , transmembrane protein , the internet , data mining , key (lock) , identification (biology) , web service , web server , amino acid , world wide web , programming language , mathematics , chemistry , operating system , biology , statistics , biochemistry , receptor , botany , bubble , maximum bubble pressure method
TMpro is a transmembrane (TM) helix prediction algorithm that uses language processing methodology for TM segment identification. It is primarily based on the analysis of statistical distributions of properties of amino acids in transmembrane segments. This article describes the availability of TMpro on the internet via a web interface. The key features of the interface are: (i) output is generated in multiple formats including a user-interactive graphical chart which allows comparison of TMpro predicted segment locations with other labeled segments input by the user, such as predictions from other methods. (ii) Up to 5000 sequences can be submitted at a time for prediction. (iii) TMpro is available as a web server and is published as a web service so that the method can be accessed by users as well as other services depending on the need for data integration.

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