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PDBHarvest - Harvesting more and better metadata from CCP4 projects to enrich structure depositions to the PDB

PDBHarvest - Harvesting more and better metadata from CCP4 projects to enrich structure depositions to the PDB
PDBHarvest - 从 CCP4 项目中收获更多更好的元数据,以丰富 PDB 的结构沉积
批准号:
BB/M020428/1
负责人:
Sameer Velankar
金额:
$8.94万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
In the era of data-driven biology, the research community is increasingly dependent on the availability of accurate and complete metadata information for different experiments archived in the biological data resources. The Protein Data Bank (PDB) is the single global repository of high-resolution three-dimensional (3D) macromolecular structure data. The PDB is managed by the Worldwide Protein Data Bank (wwPDB) consortium of which PDBe is a founding member. The high-resolution data archived in the PDB can help in the design and discovery of new therapeutics relevant to the pharmaceutical, animal health, food safety and biotechnology industries. Over 80% of the structures available in the PDB are determined using X-ray crystallography. In recent years there have been rapid advances in structure-determination methodology, instrumentation and software. This has resulted in a rapid growth of the number of structures determined each year. The improvements have also enabled crystallographers to address ever more challenging biological systems including integral membrane proteins and large macromolecular machines such as ribosomes and chaperones. The emergence of hybrid methods, where data from a wide range of experiments can be used in structure determination allows researchers to study even larger and more complex systems. These scientific advances make it necessary to accurately capture additional and more complex metadata. This can be achieved by implementing automated data-capturing ("data-harvesting") functionality in popular software packages used by crystallographers. CCP4 is one the most popular program suites that supports all steps in the structure-determination process. It is widely used by researchers in academia and industry. We plan to implement data-harvesting infrastructure in CCP4 to facilitate automatic data capture and easy deposition to the PDB. The new harvesting functionality will export the metadata in mmCIF file format; this is a flexible format that allows for future extensions to capture even more metadata. The additional metadata will enrich the information available in the PDB archive and will allow for better use of the archive information by the biomedical research community. The additional information can be "mined" by crystallographic methods developers to detect hitherto unknown correlations and possibly gain new insights that could lead to better methods. To support the data-harvesting efforts, the project will also modify the wwPDB deposition and annotation system so that it will accept the upload of the new harvest file. The modified wwPDB deposition software will allow for automatic extraction of the additional metadata and simplify the deposition process for CCP4 users, while providing the entire user community with more and more accurate structural data.
期刊论文(8)
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会议论文
DOI: 10.1016/j.sbi.2016.06.018
发表时间: 2016-10
期刊: CURRENT OPINION IN STRUCTURAL BIOLOGY
影响因子: 6.8
作者: [Berman, Helen M., Burley, Stephen K., Kleywegt, Gerard J., Markley, John L., Nakamura, Haruki, Velankar, Sameer]
通讯作者: Velankar, Sameer
DOI: 10.1016/j.str.2017.01.004
发表时间: 2017-03-07
期刊: Structure (London, England : 1993)
影响因子: --
作者: [Young JY, Westbrook JD, Feng Z, Sala R, Peisach E, Oldfield TJ, Sen S, Gutmanas A, Armstrong DR, Berrisford JM, Chen L, Chen M, Di Costanzo L, Dimitropoulos D, Gao G, Ghosh S, Gore S, Guranovic V, Hendrickx PMS, Hudson BP, Igarashi R, Ikegawa Y, Kobayashi N, Lawson CL, Liang Y, Mading S, Mak L, Mir MS, Mukhopadhyay A, Patwardhan A, Persikova I, Rinaldi L, Sanz-Garcia E, Sekharan MR, Shao C, Swaminathan GJ, Tan L, Ulrich EL, van Ginkel G, Yamashita R, Yang H, Zhuravleva MA, Quesada M, Kleywegt GJ, Berman HM, Markley JL, Nakamura H, Velankar S, Burley SK]
通讯作者: Burley SK
DOI: 10.1093/database/bay002
发表时间: 2018-01-01
期刊: Database : the journal of biological databases and curation
影响因子: --
作者: [Young JY, Westbrook JD, Feng Z, Peisach E, Persikova I, Sala R, Sen S, Berrisford JM, Swaminathan GJ, Oldfield TJ, Gutmanas A, Igarashi R, Armstrong DR, Baskaran K, Chen L, Chen M, Clark AR, Di Costanzo L, Dimitropoulos D, Gao G, Ghosh S, Gore S, Guranovic V, Hendrickx PMS, Hudson BP, Ikegawa Y, Kengaku Y, Lawson CL, Liang Y, Mak L, Mukhopadhyay A, Narayanan B, Nishiyama K, Patwardhan A, Sahni G, Sanz-García E, Sato J, Sekharan MR, Shao C, Smart OS, Tan L, van Ginkel G, Yang H, Zhuravleva MA, Markley JL, Nakamura H, Kurisu G, Kleywegt GJ, Velankar S, Berman HM, Burley SK]
通讯作者: Burley SK
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:
CIBR 19-BBSRC-NSF/BIO: Next generation PDB - FACT infrastructure with value added FAIR data supporting diverse research and education user communities
  • 批准号:
    BB/V004247/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $48.28万
  • 财政年份:
    2021
  • 负责人:
    Sameer Velankar
  • 依托单位:
海外基金