GPS-TSP specifications

Information


Unique identifier OMICS_21555
Name GPS-TSP
Software type Application/Script
Interface Web user interface
Restrictions to use None
Input data One primary sequence or multiple proteins sequences.
Input format FASTA
Computer skills Basic
Version 1.0
Stability Stable
Maintained Yes

Information


Unique identifier OMICS_21555
Name GPS-TSP
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
Computer skills Medium
Version 1.0
Stability Stable
Maintained Yes

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Publication for GPS-TSP

GPS-TSP citations

 (2)
library_books

Prediction of post translational modification sites using multiple kernel support vector machine

2017
PeerJ
PMCID: 5410141
PMID: 28462053
DOI: 10.7717/peerj.3261

[…] ine service and local package of GPS-YNO2 1.0 for identification of tyrosine nitration with the previously developed GPS algorithm () and sequence information. Recently, developed a predictor termed GPS-TSP for the prediction of tyrosine sulfation with similar computational framework.In addition to aforementioned methods, recently there is an increasing interest in predicting PTM sites that have […]

library_books

Analysis of immunoglobulin transcripts and hypermutation following SHIVAD8 infection and protein plus adjuvant immunization

2015
Nat Commun
PMCID: 4403371
PMID: 25858157
DOI: 10.1038/ncomms7565

[…] PCR crossover and sequencing error. The phylogenetic tree () was built using PhyML with GTR substitution model, which is the best model estimated by MEGA5. Tyrosine sulfation was predicted using the GPS-TSP programme ( http://tsp.biocuckoo.org). ProteinCaculator was used for charge calculations at pH 7 ( http://protcalc.sourceforge.net). […]

GPS-TSP institution(s)
Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China; State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
GPS-TSP funding source(s)
Supported by grants from the National Basic Research Program (973 project) (2012CB910101, and 2013CB9339002), Natural Science Foundation of China (31171263, 81272578 and J1103514), International Science & Technology Cooperation Program of China (2014DFB30020), China Postdoctoral Science Foundation (2014M550392), and Fundamental Research Funds for the Central Universities (HUST: 2013TS080, 2014YQ003).

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