Literature DB >> 32008039

EPSD: a well-annotated data resource of protein phosphorylation sites in eukaryotes.

Shaofeng Lin1, Chenwei Wang1, Jiaqi Zhou1, Ying Shi1, Chen Ruan1, Yiran Tu1, Lan Yao1, Di Peng1, Yu Xue1.   

Abstract

As an important post-translational modification (PTM), protein phosphorylation is involved in the regulation of almost all of biological processes in eukaryotes. Due to the rapid progress in mass spectrometry-based phosphoproteomics, a large number of phosphorylation sites (p-sites) have been characterized but remain to be curated. Here, we briefly summarized the current progresses in the development of data resources for the collection, curation, integration and annotation of p-sites in eukaryotic proteins. Also, we designed the eukaryotic phosphorylation site database (EPSD), which contained 1 616 804 experimentally identified p-sites in 209 326 phosphoproteins from 68 eukaryotic species. In EPSD, we not only collected 1 451 629 newly identified p-sites from high-throughput (HTP) phosphoproteomic studies, but also integrated known p-sites from 13 additional databases. Moreover, we carefully annotated the phosphoproteins and p-sites of eight model organisms by integrating the knowledge from 100 additional resources that covered 15 aspects, including phosphorylation regulator, genetic variation and mutation, functional annotation, structural annotation, physicochemical property, functional domain, disease-associated information, protein-protein interaction, drug-target relation, orthologous information, biological pathway, transcriptional regulator, mRNA expression, protein expression/proteomics and subcellular localization. We anticipate that the EPSD can serve as a useful resource for further analysis of eukaryotic phosphorylation. With a data volume of 14.1 GB, EPSD is free for all users at http://epsd.biocuckoo.cn/.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  PLK1; phosphoproteomics; phosphorylation; phosphorylation site; post-translational modification

Year:  2020        PMID: 32008039     DOI: 10.1093/bib/bbz169

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  9 in total

1.  Posttranslational modifications in proteins: resources, tools and prediction methods.

Authors:  Shahin Ramazi; Javad Zahiri
Journal:  Database (Oxford)       Date:  2021-04-07       Impact factor: 3.451

Review 2.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

Authors:  Xinyue Liu; Rose Fields; Devin K Schweppe; Joao A Paulo
Journal:  Expert Rev Proteomics       Date:  2021-10-28       Impact factor: 3.940

Review 3.  Maximizing Depth of PTM Coverage: Generating Robust MS Datasets for Computational Prediction Modeling.

Authors:  Anthony A Iannetta; Leslie M Hicks
Journal:  Methods Mol Biol       Date:  2022

4.  HCN Channel Phosphorylation Sites Mapped by Mass Spectrometry in Human Epilepsy Patients and in an Animal Model of Temporal Lobe Epilepsy.

Authors:  F A Concepcion; M N Khan; J-D Ju Wang; A D Wei; J G Ojemann; A L Ko; Y Shi; J K Eng; J-M Ramirez; N P Poolos
Journal:  Neuroscience       Date:  2021-02-09       Impact factor: 3.590

5.  GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains.

Authors:  Yaping Guo; Wanshan Ning; Peiran Jiang; Shaofeng Lin; Chenwei Wang; Xiaodan Tan; Lan Yao; Di Peng; Yu Xue
Journal:  Cells       Date:  2020-05-20       Impact factor: 6.600

6.  KinaseMD: kinase mutations and drug response database.

Authors:  Ruifeng Hu; Haodong Xu; Peilin Jia; Zhongming Zhao
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

7.  qPTMplants: an integrative database of quantitative post-translational modifications in plants.

Authors:  Han Xue; Qingfeng Zhang; Panqin Wang; Bijin Cao; Chongchong Jia; Ben Cheng; Yuhua Shi; Wei-Feng Guo; Zhenlong Wang; Ze-Xian Liu; Han Cheng
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

8.  DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation.

Authors:  Ronghui Lou; Weizhen Liu; Rongjie Li; Shanshan Li; Xuming He; Wenqing Shui
Journal:  Nat Commun       Date:  2021-11-18       Impact factor: 14.919

9.  Proteomic and Phosphoproteomic Profiling Reveals the Oncogenic Role of Protein Kinase D Family Kinases in Cholangiocarcinoma.

Authors:  Yun Lu; Xiangyu Li; Kai Zhao; Yuanxin Shi; Zhengdong Deng; Wei Yao; Jianming Wang
Journal:  Cells       Date:  2022-09-30       Impact factor: 7.666

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.