TY - JOUR
T1 - TMpro web server and web service
T2 - Transmembrane helix prediction through amino acid property analysis
AU - Ganapathiraju, Madhavi
AU - Jursa, Christopher Jon
AU - Karimi, Hassan A.
AU - Klein-Seetharaman, Judith
N1 - Funding Information:
This work was supported by the National Science Foundation grants 0225656, 0225636 and CAREER CC044917. M.G. and J.K.S thank Raj Reddy and N. Balakrishnan for the discussions during the development of TMpro. M.G. and J.K.S. have developed the TMpro algorithm and designed the web interface. C.J.J. and H.A.K created the web interface and WSDL/SOAP extensions.
PY - 2007/10/15
Y1 - 2007/10/15
N2 - Summary: 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.
AB - Summary: 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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U2 - 10.1093/bioinformatics/btm398
DO - 10.1093/bioinformatics/btm398
M3 - Article
C2 - 17724062
AN - SCOPUS:35748979116
SN - 1367-4803
VL - 23
SP - 2795
EP - 2796
JO - Bioinformatics
JF - Bioinformatics
IS - 20
ER -