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Fengfeng Zhou

Publications and source records attributed to Fengfeng Zhou.

4 recordsLinked to original sources

SUMOsp: a web server for sumoylation site prediction.

Systematic dissection of the sumoylation proteome is emerging as an appealing but challenging research topic because of the significant roles sumoylation plays in cellular dynamics and plasticity. Although several proteome-scale analyzes have been performed to delineate potential sumoylatable proteins, the bona fide sumoylation sites still remain to be identified. Previously, we carried out a genome-wide analysis of the SUMO substrates in human nucleus using the putative motif psi-K-X-E and evolutionary conservation. However, a highly specific predictor for in silico prediction of sumoylation sites in any individual organism is still urgently needed to guide experimental design. In this work, we present a computational system SUMOsp--SUMOylation Sites Prediction, based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level. SUMOsp has been implemented on a freely accessible web server at: http://bioinformatics.lcd-ustc.org/sumosp/.

Algorithms↗

CSS-Palm: palmitoylation site prediction with a clustering and scoring strategy (CSS).

UNLABELLED: Palmitoylation is an important post-translational lipid modification of proteins. Unlike prenylation and myristoylation, palmitoylation is a reversible covalent modification, allowing for dynamic regulation of multiple complex cellular systems. However, in vivo or in vitro identification of palmitoylation sites is usually time-consuming and labor-intensive. So in silico predictions could help to narrow down the possible palmitoylation sites, which can be used to guide further experimental design. Previous studies suggested that there is no unique canonical motif for palmitoylation sites, so we hypothesize that the bona fide pattern might be compromised by heterogeneity of multiple structural determinants with different features. Based on this hypothesis, we partition the known palmitoylation sites into three clusters and score the similarity between the query peptide and the training ones based on BLOSUM62 matrix. We have implemented a computer program for palmitoylation site prediction, Clustering and Scoring Strategy for Palmitoylation Sites Prediction (CSS-Palm) system, and found that the program's prediction performance is encouraging with highly positive Jack-Knife validation results (sensitivity 82.16% and specificity 83.17% for cut-off score 2.6). Our analyses indicate that CSS-Palm could provide a powerful and effective tool to studies of palmitoylation sites. AVAILABILITY: CSS-Palm is implemented in PHP/PERL+MySQL and can be freely accessed at http://bioinformatics.lcd-ustc.org/css_palm/ CONTACT: yaoxb@ustc.edu.cn; xuyn@bmb.uga.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bionformatics online.

Algorithms↗

GPS: a comprehensive www server for phosphorylation sites prediction.

Protein phosphorylation plays a fundamental role in most of the cellular regulatory pathways. Experimental identification of protein kinases' (PKs) substrates with their phosphorylation sites is labor-intensive and often limited by the availability and optimization of enzymatic reactions. Recently, large-scale analysis of the phosphoproteome by the mass spectrometry (MS) has become a popular approach. But experimentally, it is still difficult to distinguish the kinase-specific sites on the substrates. In this regard, the in silico prediction of phosphorylation sites with their specific kinases using protein's primary sequences may provide guidelines for further experimental consideration and interpretation of MS phosphoproteomic data. A variety of such tools exists over the Internet and provides the predictions for at most 30 PK subfamilies. We downloaded the verified phosphorylation sites from the public databases and curated the literature extensively for recently found phosphorylation sites. With the hypothesis that PKs in the same subfamily share similar consensus sequences/motifs/functional patterns on substrates, we clustered the 216 unique PKs in 71 PK groups, according to the BLAST results and protein annotations. Then, we applied the group-based phosphorylation scoring (GPS) method on the data set; here, we present a comprehensive PK-specific prediction server GPS, which could predict kinase-specific phosphorylation sites from protein primary sequences for 71 different PK groups. GPS has been implemented in PHP and is available on a www server at http://973-proteinweb.ustc.edu.cn/gps/gps_web/.

Animals↗

A genome-wide analysis of sumoylation-related biological processes and functions in human nucleus.

Protein sumoylation is an important reversible post-translational modification of proteins in the nucleus, and it orchestrates a variety of the cellular processes. Genome-wide analysis of functional abundance and distribution of Small Ubiquitin-related MOdifier (SUMO) substrates may shed a light on how sumoylation is involved in nuclear biological processes and functions. Two interesting questions about sumoylation have emerged: (1) how many SUMO substrates exist in mammalian proteomes, such as human and mouse, (2) and what are their functions and how are they involved in a variety of biological processes? To address these two questions,we present an in silico genome-scale analysis for SUMO substrates in human. Based on the pattern recognition and phylogenetic conservation, we retrieved a list of 2683 potential SUMO substrates conserved in both human and mouse. Then, by functional enrichment analysis, we surveyed the over-represented GO terms and functional domains of them against the whole human proteome. Besides the consistence between our analyses and in vivo or in vitro work, the in silico predicted candidates also point to several potential roles of sumoylation, e.g., perception of sound. These potential SUMO substrates in human are of great value for further in vivo or in vitro experimental analysis.

Animals↗