
PTM-Pro:
This program will fetch high confident PTM sites at peptide and protein level based on user-defined ptmRS probability cut-off. A summary of the number of PTM sites that qualify the said cut-off will be generated. Also, a PTM window consisting of 7 amino acids upstream and downstream of the PTM site will be provided. This window can be used for motif enrichment or to identify conserved motifs. Please read the following steps to prepare your input file and set up the analysis.
sample file. Use: Database of RefSeq75 for executing sample file. (To save, "right click" and opt for "save link as").
Input file format: Text document (tab-delimited)
Order of columns:
First column - "Peptide sequence"
Second column - "Protein group accession"
Last column - "ptmRS probabilities"
Peptide Sequence |
Master protein accession |
. . . |
ptmRS: Best Site probabilities |
[R].sDIDSPPITAR.[N] |
41327734 |
. . . |
S5(Phospho): 99.56 |
Notes:
1. Please remove the rows where phosphoRS value is blank
2. There might be any number of columns in between the second and last columns.
Arrangement of columns in this order is a MUST. The program may not work correctly if this order is not followed.
Select the organism: Please select the appropriate organism. If the organism of your interest is not present in the drop down menu, write to us with subject lines as ptm-pro: database index.
Select the probability cut-off: The default probability cut-off value is ≥75. You can change it as per your requirement.
Output file:
A zipped file is downloaded to your computer which contains the output file, a file containing a list of PTM peptides for which the PTM sites couldn't be fetched (ambigous PTM peptides) and a summary of your analysis. The output file is generated with a suffix of "_PTM.Site_PTM.Window_mmddyy.txt". An example output file is provided for your understanding. Download sample file (To save, right click and opt for "save link as").
Patil, A. H., Datta, K. K., et al., Dissecting Candida pathobiology: Post-translational modifications on the Candida tropicalis proteome. 2018. OMICS: A Journal of Integrative Biology. 22, 544-552. [PubMed]
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