Analyses of Protein Post-Translational Modifications

Contains utilities for the analysis of post-translational modifications (PTMs) in proteins, with particular emphasis on the sulfoxidation of methionine residues. Features include the ability to download, filter and analyze data from the sulfoxidation database 'MetOSite'. Utilities to search and characterize S-aromatic motifs in proteins are also provided. In addition, functions to analyze sequence environments around modifiable residues in proteins can be found. For instance, 'ptm' allows to search for amino acids either overrepresented or avoided around the modifiable residues from the proteins of interest. Functions tailored to test statistical hypothesis related to these differential sequence environments are also implemented. Further and detailed information regarding the methods in this package can be found in (Aledo (2020) < https://metositeptm.com>).


ptm

R package for the analysis of post-translational modifications, with particular emphasis on the sulfoxidation (oxidation) of methionine residues.

Extensive and detailed documentation related to this package can be found at https://metositeptm.com

Citing ptm

Aledo, JC. ptm: an R package for the study of methionine sulfoxidation and other posttranslational modifications. Bioinformatics, Volume 37, Issue 21, 1 November 2021, Pages 3979–3980, https://doi.org/10.1093/bioinformatics/btab348

Contributing

We are always interested in improving and adding additional functionality to ptm. If you have ideas, suggestions or code that your would like to distribute as part of this package, please contact us (see below).

Contact

Your are welcome to:

Reference manual

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install.packages("ptm")

1.0.1 by Juan Carlos Aledo, 2 years ago


https://bitbucket.org/jcaledo/ptm, https://github.com/jcaledo/Rptm, https://metositeptm.com


Browse source code at https://github.com/cran/ptm


Authors: Juan Carlos Aledo [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports bio3d, curl, graphics, httr, jsonlite, stats

Suggests knitr, markdown, testthat


See at CRAN