Literature DB >> 26519399

UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View.

Emmanuel Boutet1, Damien Lieberherr2, Michael Tognolli2, Michel Schneider2, Parit Bansal2, Alan J Bridge2, Sylvain Poux2, Lydie Bougueleret2, Ioannis Xenarios2,3.   

Abstract

The Universal Protein Resource (UniProt, http://www.uniprot.org ) consortium is an initiative of the SIB Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) to provide the scientific community with a central resource for protein sequences and functional information. The UniProt consortium maintains the UniProt KnowledgeBase (UniProtKB), updated every 4 weeks, and several supplementary databases including the UniProt Reference Clusters (UniRef) and the UniProt Archive (UniParc).The Swiss-Prot section of the UniProt KnowledgeBase (UniProtKB/Swiss-Prot) contains publicly available expertly manually annotated protein sequences obtained from a broad spectrum of organisms. Plant protein entries are produced in the frame of the Plant Proteome Annotation Program (PPAP), with an emphasis on characterized proteins of Arabidopsis thaliana and Oryza sativa. High level annotations provided by UniProtKB/Swiss-Prot are widely used to predict annotation of newly available proteins through automatic pipelines.The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry. We will also present some of the tools and databases that are linked to each entry.

Entities:  

Keywords:  Amino-acid sequence; Manual annotation; Protein database; Swiss-Prot; TrEMBL; UniProt

Mesh:

Year:  2016        PMID: 26519399     DOI: 10.1007/978-1-4939-3167-5_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  239 in total

1.  NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information.

Authors:  Shuwei Yao; Ronghui You; Shaojun Wang; Yi Xiong; Xiaodi Huang; Shanfeng Zhu
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

2.  MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.

Authors:  Duolin Wang; Dongpeng Liu; Jiakang Yuchi; Fei He; Yuexu Jiang; Siteng Cai; Jingyi Li; Dong Xu
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

3.  EDGAR3.0: comparative genomics and phylogenomics on a scalable infrastructure.

Authors:  Marius Alfred Dieckmann; Sebastian Beyvers; Rudel Christian Nkouamedjo-Fankep; Patrick Harald Georg Hanel; Lukas Jelonek; Jochen Blom; Alexander Goesmann
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

4.  Engineering allosteric regulation in protein kinases.

Authors:  David Pincus; Jai P Pandey; Zoë A Feder; Pau Creixell; Orna Resnekov; Kimberly A Reynolds
Journal:  Sci Signal       Date:  2018-11-06       Impact factor: 8.192

5.  LitSense: making sense of biomedical literature at sentence level.

Authors:  Alexis Allot; Qingyu Chen; Sun Kim; Roberto Vera Alvarez; Donald C Comeau; W John Wilbur; Zhiyong Lu
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

6.  A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra.

Authors:  Qiang Kou; Si Wu; Nikola Tolic; Ljiljana Paša-Tolic; Yunlong Liu; Xiaowen Liu
Journal:  Bioinformatics       Date:  2017-05-01       Impact factor: 6.937

7.  Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances.

Authors:  Xin Feng; Shaofei Wang; Quewang Liu; Han Li; Jiamei Liu; Cheng Xu; Weifeng Yang; Yayun Shu; Weiwei Zheng; Bingxin Yu; Mingran Qi; Wenyang Zhou; Fengfeng Zhou
Journal:  J Vis Exp       Date:  2018-10-11       Impact factor: 1.355

8.  Computational Methods for Predicting Protein-Protein Interactions Using Various Protein Features.

Authors:  Ziyun Ding; Daisuke Kihara
Journal:  Curr Protoc Protein Sci       Date:  2018-06-21

9.  Functional proteomic analysis of corticosteroid pharmacodynamics in rat liver: Relationship to hepatic stress, signaling, energy regulation, and drug metabolism.

Authors:  Vivaswath S Ayyar; Richard R Almon; Debra C DuBois; Siddharth Sukumaran; Jun Qu; William J Jusko
Journal:  J Proteomics       Date:  2017-03-14       Impact factor: 4.044

10.  NetGO: improving large-scale protein function prediction with massive network information.

Authors:  Ronghui You; Shuwei Yao; Yi Xiong; Xiaodi Huang; Fengzhu Sun; Hiroshi Mamitsuka; Shanfeng Zhu
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

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