Literature DB >> 17406417

A general user interface for prediction servers of proteins' post-translational modification sites.

Fengfeng Zhou1, Yu Xue, Xuebiao Yao, Ying Xu.   

Abstract

Post-translational modifications (PTMs) of proteins play essential roles in governing the functions and dynamics of proteins and are implicated in many cellular processes. Several types of PTMs have been investigated through computational approaches, including phosphorylation, sumoylation, palmitoylation, and lysine and arginine methylation, among others. Because the large diversity in the user interfaces (UIs) of different prediction servers for PTMs could possibly hinder experimental biologists in using these servers, we propose to develop a protocol for a unified UI for PTM prediction servers, based on our own work and that of other groups on PTM site prediction. By following this protocol, tool developers can provide a uniform UI regardless of the PTM types and the underlying computational algorithms. With such uniformity in the UI, experimental biologists would be able to use any PTM prediction server compliant with this protocol once they had learned to use one of them. It takes a typical PTM prediction server compliant with this unified UI several minutes to calculate the prediction results for a protein 1,000 amino acids in length.

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Year:  2006        PMID: 17406417     DOI: 10.1038/nprot.2006.209

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  11 in total

1.  The structural and functional signatures of proteins that undergo multiple events of post-translational modification.

Authors:  Vikas Pejaver; Wei-Lun Hsu; Fuxiao Xin; A Keith Dunker; Vladimir N Uversky; Predrag Radivojac
Journal:  Protein Sci       Date:  2014-06-11       Impact factor: 6.725

Review 2.  Current status of PTMs structural databases: applications, limitations and prospects.

Authors:  Alexandre G de Brevern; Joseph Rebehmed
Journal:  Amino Acids       Date:  2022-01-12       Impact factor: 3.520

3.  GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy.

Authors:  Yu Xue; Jian Ren; Xinjiao Gao; Changjiang Jin; Longping Wen; Xuebiao Yao
Journal:  Mol Cell Proteomics       Date:  2008-05-06       Impact factor: 5.911

4.  Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.

Authors:  C George Priya Doss; B Rajith
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

5.  A comprehensive resource for integrating and displaying protein post-translational modifications.

Authors:  Tzong-Yi Lee; Justin Bo-Kai Hsu; Wen-Chi Chang; Ting-Yuan Wang; Po-Chiang Hsu; Hsien-Da Huang
Journal:  BMC Res Notes       Date:  2009-06-23

Review 6.  The rough guide to in silico function prediction, or how to use sequence and structure information to predict protein function.

Authors:  Marco Punta; Yanay Ofran
Journal:  PLoS Comput Biol       Date:  2008-10-31       Impact factor: 4.475

7.  KEPE--a motif frequently superimposed on sumoylation sites in metazoan chromatin proteins and transcription factors.

Authors:  Francesca Diella; Sophie Chabanis; Katja Luck; Claudia Chica; Chenna Ramu; Claus Nerlov; Toby J Gibson
Journal:  Bioinformatics       Date:  2008-11-24       Impact factor: 6.937

8.  jEcho: an Evolved weight vector to CHaracterize the protein's posttranslational modification mOtifs.

Authors:  Miaomiao Zhao; Zhao Zhang; Guoqin Mai; Youxi Luo; Fengfeng Zhou
Journal:  Interdiscip Sci       Date:  2015-08-06       Impact factor: 2.233

9.  RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals.

Authors:  Kai-Yao Huang; Hsin-Yi Wu; Yi-Ju Chen; Cheng-Tsung Lu; Min-Gang Su; Yun-Chung Hsieh; Chih-Ming Tsai; Kuo-I Lin; Hsien-Da Huang; Tzong-Yi Lee; Yu-Ju Chen
Journal:  Database (Oxford)       Date:  2014-04-25       Impact factor: 3.451

10.  Structure predictions of two Bauhinia variegata lectins reveal patterns of C-terminal properties in single chain legume lectins.

Authors:  Gustavo M S G Moreira; Fabricio R Conceição; Alan J A McBride; Luciano da S Pinto
Journal:  PLoS One       Date:  2013-11-19       Impact factor: 3.240

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