Literature DB >> 21850344

GPS-PUP: computational prediction of pupylation sites in prokaryotic proteins.

Zexian Liu1, Qian Ma, Jun Cao, Xinjiao Gao, Jian Ren, Yu Xue.   

Abstract

Recent experiments revealed the prokaryotic ubiquitin-like protein (PUP) to be a signal for the selective degradation of proteins in Mycobacterium tuberculosis (Mtb). By covalently conjugating the PUP, pupylation functions as a critical post-translational modification (PTM) conserved in actinomycetes. Here, we designed a novel computational tool of GPS-PUP for the prediction of pupylation sites, which was shown to have a promising performance. From small-scale and large-scale studies we collected 238 potentially pupylated substrates for which the exact pupylation sites were still not determined. As an example application, we predicted ∼85% of these proteins with at least one potential pupylation site. Furthermore, through functional analysis, we observed that pupylation can target various substrates so as to regulate a broad array of biological processes, such as the response to stress, sulfate and proton transport, and metabolism. The prediction and analysis results prove to be useful for further experimental investigation. The GPS-PUP 1.0 is freely available at: .

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Year:  2011        PMID: 21850344     DOI: 10.1039/c1mb05217a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  20 in total

1.  Regulation of cell adhesion and migration by Kindlin-3 cleavage by calpain.

Authors:  Yongzhong Zhao; Nikolay L Malinin; Julia Meller; Yi Ma; Xiaoxia Z West; Kamila Bledzka; Jun Qin; Eugene A Podrez; Tatiana V Byzova
Journal:  J Biol Chem       Date:  2012-09-25       Impact factor: 5.157

2.  The Absence of Pupylation (Prokaryotic Ubiquitin-Like Protein Modification) Affects Morphological and Physiological Differentiation in Streptomyces coelicolor.

Authors:  Hasna Boubakri; Nicolas Seghezzi; Magalie Duchateau; Myriam Gominet; Olga Kofroňová; Oldřich Benada; Philippe Mazodier; Jean-Luc Pernodet
Journal:  J Bacteriol       Date:  2015-08-17       Impact factor: 3.490

Review 3.  Prokaryotic ubiquitin-like protein modification.

Authors:  Julie A Maupin-Furlow
Journal:  Annu Rev Microbiol       Date:  2014-05-29       Impact factor: 15.500

4.  GPS-ARM: computational analysis of the APC/C recognition motif by predicting D-boxes and KEN-boxes.

Authors:  Zexian Liu; Fang Yuan; Jian Ren; Jun Cao; Yanhong Zhou; Qing Yang; Yu Xue
Journal:  PLoS One       Date:  2012-03-29       Impact factor: 3.240

5.  PupDB: a database of pupylated proteins.

Authors:  Chun-Wei Tung
Journal:  BMC Bioinformatics       Date:  2012-03-16       Impact factor: 3.169

6.  Comparative Proteomic Analysis of Aminoglycosides Resistant and Susceptible Mycobacterium tuberculosis Clinical Isolates for Exploring Potential Drug Targets.

Authors:  Divakar Sharma; Bhavnesh Kumar; Manju Lata; Beenu Joshi; Krishnamurthy Venkatesan; Sangeeta Shukla; Deepa Bisht
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

7.  Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.

Authors:  Md Mehedi Hasan; Yuan Zhou; Xiaotian Lu; Jinyan Li; Jiangning Song; Ziding Zhang
Journal:  PLoS One       Date:  2015-06-16       Impact factor: 3.240

8.  iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity.

Authors:  Yan Xu; Ya-Xin Ding; Jun Ding; Ya-Hui Lei; Ling-Yun Wu; Nai-Yang Deng
Journal:  Sci Rep       Date:  2015-06-18       Impact factor: 4.379

Review 9.  Systematic analysis and prediction of pupylation sites in prokaryotic proteins.

Authors:  Xiang Chen; Jian-Ding Qiu; Shao-Ping Shi; Sheng-Bao Suo; Ru-Ping Liang
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

10.  Position-specific analysis and prediction of protein pupylation sites based on multiple features.

Authors:  Xiaowei Zhao; Jiangyan Dai; Qiao Ning; Zhiqiang Ma; Minghao Yin; Pingping Sun
Journal:  Biomed Res Int       Date:  2013-08-26       Impact factor: 3.411

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