pLink-SS specifications

Information


Unique identifier OMICS_09673
Name pLink-SS
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++, Python
License GNU General Public License version 3.0
Computer skills Advanced
Stability No
Requirements
G++, msys
Source code URL https://codeload.github.com/pLinkSS/pLink-SS/zip/master
Maintained No

Taxon


  • Bacteria
    • Escherichia coli
  • Primates
    • Homo sapiens

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Publication for pLink-SS

pLink-SS in publications

 (3)
PMCID: 5937861
PMID: 29756007
DOI: 10.1007/s41048-018-0050-6

[…] sulfide bonds may be present in a complex form that is difficult to identify if the sample is digested only with lys-c and trypsin (fig. ). last and the most important, a data analysis program called plink-ss has been developed and carefully tuned to identify disulfide-bonded peptides from hcd spectra. the types of disulfide-bonded peptides that can be identified using plink-ss are shown in fig. . […]

PMCID: 5854672
PMID: 29545539
DOI: 10.1038/s41598-018-23016-y

[…] ppm and 44.92 ppm, respectively, indicating that all these cysteines form disulfide bonds.figure 2, to characterize how these cysteines form s-s bonds, high-throughput mass spectrometry, termed as plink-ss, was firstly performed. two disulfide bonds between cys68 and cys119 and between cys54 and cys148 were clearly mapped, as shown in figure . the left two disulfide bonds formed among cys68, […]

PMCID: 5417816
PMID: 28289178
DOI: 10.1074/mcp.M116.062125

[…] proteins, and plink software can be used to identify sumoylation sites. the latest version of plink has been expanded to identify endogenous protein cross-linking sites such as disulfide bonds () (plink-ss) and sumo modification sites (plink-sumo). therefore, in our study, we also tried plink software for endo-sumo1 site identification. considering the missed cleavage of glu-c protease […]


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pLink-SS institution(s)
College of Life Science, Beijing Normal University, Beijing, China; National Institute of Biological Sciences, Beijing, China; Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Institute of Molecular Medicine, Peking University, Beijing, China; National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Beijing, China
pLink-SS funding source(s)
Supported by the National Scientific Instrumentation Grant Program (2011YQ09000506), National Natural Science Foundation of China (grant no. 21475141), Ministry of Science and Technology of China (973 grants 2013CB911203, 2012CB910602 and 2010CB912701), CAS Knowledge Innovation Program (grant #KGCX1-YW-13 and ICT-20126033), Strategic Priority Research Program of CAS (XDB13040600), NCMIS CAS and municipal government of Beijing.

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