Total ProGlycProt Entries : 340

Total Archaeal Entries : 71

Total Bacterial Entries : 269

Total ProCGP Entries : 95

Total ProUGP Entries : 245


Compiled & developed by the
group of

Dr Alka Rao
Protein Science and Engineering
Institute of Microbial Technology
Sector 39A- Chandigarh
Phone: 91-172-6665214 (Office),
91-172-2690585 (Fax)

ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized bacterial glycoproteins and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.

ProGlycProt is an extensive online collection of experimentally verified glycosites and glycoproteins of the prokaryotes. For users’ benefit, the database under menu ProGlycProtdb is arranged into two sections namely, ProCGP and ProUGP. ProCGP is the main section containing characterized prokaryotic glycoproteins, defined as entries with at least one experimentally known "glycosylated residue (glycosite)". Whereas, ProUGP is the supplementary section, presenting uncharacterized prokaryotic glycoproteins, defined as entries with experimentally identified glycosylation but unidentified glycosites.  
The ProGlycProt has been developed with an aim to aid and advance the emerging scientific interests in understanding the mechanisms, implications, and novelties of protein glycosylation in prokaryotes that include many pathogenic as well as economically important bacterial species.

A general data
update policy is once in three months. Existing entries are updated in real-time.


Aadil H. Bhat; Homchoru Mondal; Jagat S. Chauhan; Gajendra P. S. Raghava; Amrish Methi and 
Alka Rao (2012) ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins. Nucleic Acids Res. 2012 Jan;40(Database issue):D388-93. Epub 2011 Oct 28.
Jagat S. Chauhan, Aadil H. Bhat, Gajendra P. S. Raghava and Alka Rao (2012) GlycoPP: A Webserver for Prediction of N- and O-Glycosites in Prokaryotic Protein Sequences. PLoS ONE 7(7): e40155. doi:10.1371/journal.pone.0040155
On 20.07.2012: Addition of New Tool " GlycoPP for prediction of glycosites in prokaryotes"
On 23.03.2012: Addition of Cysteine (C) in "Select Glycosite Pattern" window of Glyseq Extractor Tool
Copyright @ 2011 IMTECH
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