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GPS-SNO specifications

Information


Unique identifier OMICS_03496
Name GPS-SNO
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data A primary sequence or multiple proteins sequences.
Input format FASTA
Programming languages Java
Computer skills Basic
Version 1.0
Stability Stable
Requirements
JRE
Maintained Yes

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Documentation


Maintainers


  • person_outline Jian Ren <>
  • person_outline Yu Xue <>

Additional information


http://sno.biocuckoo.org/faq.php

Information


Unique identifier OMICS_03496
Name GPS-SNO
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Input data A primary sequence or multiple proteins sequences.
Input format FASTA
Operating system Unix/Linux, Mac OS, Windows
Computer skills Medium
Version 1.0
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainers


  • person_outline Jian Ren <>
  • person_outline Yu Xue <>

Additional information


http://sno.biocuckoo.org/faq.php

Publication for GPS-SNO

GPS-SNO in pipeline

2017
PMCID: 5522101
PMID: 28473666
DOI: 10.18632/oncotarget.17449

[…] of the potential modification on cysteines using the online service software, including lipid modification using gps-lipid (http://lipid.biocuckoo.org/webserver.php), s-nitrosylation using gps-sno (http://sno.biocuckoo.org/online.php), plamitoylation using css-palm (http://nbapalm.biocuckoo.org/), sumoylation using gps-sumo (http://sumosp.biocuckoo.org/online.php), and phosphorylation […]


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GPS-SNO in publications

 (6)
PMCID: 5647517
PMID: 29062872
DOI: 10.1016/j.dib.2017.09.058

[…] of these proteins throughout the tools for prediction of s-nitrosylation and tyr-nitration., for s-nitrosylation prediction, freely available tools isno-aapair (http://app.aporc.org/isno-aapair) , gps-sno (http://sno.biocuckoo.org) and snosite (http://csb.cse.yzu.edu.tw/snosite/) were challenged with an olive pollen transcriptome described in the reprolive database […]

PMCID: 4733038
PMID: 26595448
DOI: 10.7554/eLife.10067.039

[…] factor has been shown to be sulfhydrated in the dna-binding domain, resulting in increased dna-binding activity (). we also found by querying the redox modification databases (redoxdb and gps-sno) that 11% of the 834 peptides from the redoxdb and 36% from the gps-sno corresponded to cysteine residues that are known to be modified by nitrosylation or glutathionylation (, ). taken […]

PMCID: 4204854
PMID: 25333472
DOI: 10.1371/journal.pone.0110232

[…] for s-nitrosylation. however, these methods have their limits. thus, computational methods are attracting considerable attention for the identification of modification sites in proteins. using gps-sno version 1.0, a recently developed s-nitrosylation site-prediction program, a set of 16,610 candidate proteins for s-nitrosylation containing 31,900 s-nitrosylation sites was isolated […]

PMCID: 4156402
PMID: 25192423
DOI: 10.1371/journal.pone.0106886

[…] isoenzymes of populus trichocarpa with pal sequences from arabidopsis, tobacco, parsley and pea revealed highly conserved cysteine residues (). of these cysteine residues, two were predicted by the gps-sno software to be s-nitrosylation sites in populus trichocarpa pal2 (cys557 and cys691) . as shown in , cys557 of pal2 is located within the shield domain (highlighted in green). this domain […]

PMCID: 4145740
PMID: 25184139
DOI: 10.1155/2014/438341

[…] with posttranslational modification including protein s-nitrosylation modification []. with regard to predicting s-nitrosylation modification sites, xue et al. [] developed a software tool named gps-sno 1.0; hao et al. [] applied support vector machine (svm), lee et al. [] used the maximal dependence decomposition- (mdd-) clustered svms, and li et al. [] utilized k-nearest neighbor algorithm […]


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GPS-SNO institution(s)
Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China; Hefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, China; Life Sciences School, Sun Yat-sen University (SYSU), Guangzhou, China
GPS-SNO funding source(s)
Supported by grants from the National Basic Research Program (973 project) (2006CB933300, 2007CB947401, 2007CB914503, 2010CB945400), National Natural Science Foundation of China (90919001, 30700138, 30900835, 30830036, 30721002), and Chinese Academy of Sciences (KSCX2- YW-R-139, INFO-115-C01-SDB4-36).

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