课题基金 / 基金详情

CIBR 19-BBSRC-NSF/BIO: Next generation PDB - FACT infrastructure with value added FAIR data supporting diverse research and education user communities

CIBR 19-BBSRC-NSF/BIO: Next generation PDB - FACT infrastructure with value added FAIR data supporting diverse research and education user communities
CIBR 19-BBSRC-NSF/BIO:下一代 PDB - FACT 基础设施,具有增值 FAIR 数据,支持多样化的研究和教育用户社区
批准号:
BB/V004247/1
负责人:
Sameer Velankar
金额:
$48.28万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
关键词:

项目摘要

项目成果

Sameer Velankar的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The vision of this US RCSB Protein Data Bank/Protein Data Bank in Europe collaborative project is to improve data deposition, delivery, and management of three-dimensional (3D) macromolecular structure information stored in the Protein Data Bank. This work will benefit researchers, educators, and their students across the natural, physical, and engineering sciences."Form (meaning shape/3D structure) dictates function in biology" - was first revealed in the Watson and Crick publication of the DNA double helix structure. Since their landmark discovery, interdisciplinary collaborative teams of biologists, physicists, chemists, and engineers have generated ~160,000 experimentally determined 3D structures of proteins and nucleic acids, which are centrally stored in a public data resource known as the Protein Data Bank (PDB). Founded in 1971 as the first open-access digital data resource in biology, the PDB has grown more than 20,000-fold to become the single global archive housing richly annotated 3D structures of proteins and DNA and RNA. This public-domain 3D structure data resource has had an enormous impact on fundamental biology, biomedicine, biotechnology, and bioenergy by enabling atomic-level understanding of naturally-occurring and engineered biomolecule, and by facilitating discovery of nearly 90% of the new drugs approved by the United States (US) Food and Drug Administration between 2010-2016. Today, new PDB structures are coming from macromolecular crystallography (MX), nuclear magnetic resonance spectroscopy (NMR), single-particle cryo-electron microscopy (3DEM), and micro-crystal electron diffraction (microED). X-ray free electron lasers and new integrative methods for structure determination are accelerating biomedical research with insights into ever more complex biological systems at the atomic level. Cryo-electron tomography even allows studies of macromolecular machines "caught in the act" inside frozen cells.Since 2003, the Worldwide Protein Data Bank (wwPDB, wwpdb.org) partnership has managed the PDB Core Archive (hereafter PDB archive) as a global Public Good according to the FACT principles of Fairness-Accuracy-Confidentiality-Transparency and the FAIR principles of Findability-Accessibility-Interoperability-Reusability. The wwPDB includes locally-funded partners in the US (Research Collaboratory for Structural Bioinformatics Protein Data Bank, RCSB PDB), Europe (Protein Data Bank in Europe, PDBe) and Asia (Protein Data Bank Japan, PDBj), plus a specialist NMR resource (BioMagResBank, BMRB). The wwPDB also enables equitable sharing of PDB data archiving and management costs between US, Europe, and Asia. In 2019, RCSB PDB, PDBe, and PDBj jointly processed 13,377 new structures coming into the PDB archive using the web-based, global wwPDB OneDep software system for deposition, validation, and biocuration. Also, in 2019, RCSB PDB, PDBe, and PDBj jointly enabled download of ~800 million PDB structure data files by millions of users from around the world.Today, wwPDB partners are confronting significant software engineering challenges, resulting from(i) the relentless growth in the number and size/complexity of newly deposited MX and 3DEM structures, and (ii) the need to manage incoming data as groups of related structures (or investigations) coming from serial femtosecond X-ray crystallography (SFX) using X-ray Free Electron Lasers (XFEL) and 3DEM.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1038/s41597-023-02101-6
发表时间: 2023-04-12
期刊: SCIENTIFIC DATA
影响因子: 9.8
作者: [Choudhary, Preeti, Anyango, Stephen, Berrisford, John, Tolchard, James, Varadi, Mihaly, Velankar, Sameer]
通讯作者: Velankar, Sameer
DOI: 10.1002/pro.4439
发表时间: 2022-10
期刊: PROTEIN SCIENCE
影响因子: 8
作者: [Varadi, Mihaly, Anyango, Stephen, Appasamy, Sri Devan, Armstrong, David, Bage, Marcus, Berrisford, John, Choudhary, Preeti, Bertoni, Damian, Deshpande, Mandar, Leines, Grisell Diaz, Ellaway, Joseph, Evans, Genevieve, Gaborova, Romana, Gupta, Deepti, Gutmanas, Aleksandras, Harrus, Deborah, Kleywegt, Gerard J., Bueno, Weslley Morellato, Nadzirin, Nurul, Nair, Sreenath, Pravda, Lukas, Afonso, Marcelo Querino Lima, Sehnal, David, Tanweer, Ahsan, Tolchard, James, Abrams, Charlotte, Dunlop, Roisin, Velankar, Sameer]
通讯作者: Velankar, Sameer
DOI: 10.1016/j.str.2022.08.004
发表时间: 2022-10-06
期刊: STRUCTURE
影响因子: 5.7
作者: [Shao, Chenghua, Bittrich, Sebastian, Wang, Sijian, Burley, Stephen K.]
通讯作者: Burley, Stephen K.
DOI: 10.1093/nar/gkad1019
发表时间: 2024-01-05
期刊: NUCLEIC ACIDS RESEARCH
影响因子: 14.9
作者: [Turner, Jack, Abbott, Sanja, Fonseca, Neli, Carrijo, Lucas, Duraisamy, Amudha Kumari, Salih, Osman, Wang, Zhe, Kleywegt, Gerard J., Morris, Kyle L., Patwardhan, Ardan, Burley, Stephen K., Crichlow, Gregg, Feng, Zukang, Flatt, Justin W., Ghosh, Sutapa, Hudson, Brian P., Lawson, Catherine L., Liang, Yuhe, Peisach, Ezra, Persikova, Irina, Sekharan, Monica, Shao, Chenghua, Young, Jasmine, Velankar, Sameer, Armstrong, David, Bage, Marcus, Bueno, Wesley Morellato, Evans, Genevieve, Gaborova, Romana, Ganguly, Sudakshina, Gupta, Deepti, Harrus, Deborah, Tanweer, Ahsan, Bansal, Manju, Rangannan, Vetriselvi, Kurisu, Genji, Cho, Hasumi, Ikegawa, Yasuyo, Kengaku, Yumiko, Kim, Ju Yaen, Niwa, Satomi, Sato, Junko, Takuwa, Ayako, Yu, Jian, Hoch, Jeffrey C., Baskaran, Kumaran, Xu, Wenqing, Zhang, Weizhe, Ma, Xiaodan]
通讯作者: Ma, Xiaodan
7
    BBSRC-NSF/BIO: An AI-based domain classification platform for 200 million 3D-models of proteins to reveal protein evolution
    • 批准号:
      BB/Y000455/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $46.4万
    • 财政年份:
      2024
    • 负责人:
      Sameer Velankar
    • 依托单位:
    20-BBSRC/NSF-BIO: From atoms to molecules to cells - Multi-scale tools and infrastructure for visualization of annotated 3D structure data
    • 批准号:
      BB/W017970/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $56.55万
    • 财政年份:
      2023
    • 负责人:
      Sameer Velankar
    • 依托单位:
    FUNCLAN - FUNctional annotations through Conformational Landscape Analysis
    • 批准号:
      BB/V016113/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $51.33万
    • 财政年份:
      2022
    • 负责人:
      Sameer Velankar
    • 依托单位:
    BioChemGRAPH - an integrated knowledge graph to facilitate basic and translational research
    • 批准号:
      BB/T01959X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $69.31万
    • 财政年份:
      2020
    • 负责人:
      Sameer Velankar
    • 依托单位:
    国内基金
    海外基金
    芽孢杆菌TR19-1对魔芋腐皮镰刀菌拮抗机理研究
    1H/19F多核MRI术中可视化免疫抑制巨噬细胞定位脑胶质瘤浸润边界
    ATPIF1调节线粒体膜电位影响靶向CD19 CAR-T细胞抗肿瘤活性的作用及机制
    • 批准号:
      2026JJ80001
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      钟根深
    • 依托单位:
    CD19/BCMA双靶向CAR-NK细胞治疗难治性SLE:作用机制与临床前转化研究
    • 批准号:
      2026JJ81339
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      谢希
    • 依托单位: