13 results on '"Guranovic, V."'
Search Results
2. RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy
- Author
-
Robert Lowe, Maria Voigt, Zukang Feng, Dmytro Guzenko, Chenghua Shao, Raul Sala, Cole H. Christie, Tara Kalro, Chunxiao Bi, Irina Periskova, Christine Zardecki, David S. Goodsell, John D. Westbrook, Shuchismita Dutta, Andreas Prlić, Charmi Bhikadiya, Monica Sekharan, Marina Zhuravleva, Harry Namkoong, Ezra Peisach, Peter W. Rose, Helen M. Berman, Alexander S. Rose, Stephen K. Burley, Yana Valasatava, Christopher Randle, Luigi Di Costanzo, Yi-Ping Tao, Lihua Tan, Jasmine Young, Sutapa Ghosh, Jesse Woo, Kenneth Dalenberg, Rachel Kramer Green, Huanwang Yang, Jose M. Duarte, Brian P. Hudson, Li Chen, Vladimir Guranovic, Yu-He Liang, Burley, S. K., Berman, H. M., Bhikadiya, C., Bi, C., Chen, L., DI COSTANZO, Luigi, Christie, C., Dalenberg, K., Duarte, J. M., Dutta, S., Feng, Z., Ghosh, S., Goodsell, D. S., Green, R. K., Guranovic, V., Guzenko, D., Hudson, B. P., Kalro, T., Liang, Y., Lowe, R., Namkoong, H., Peisach, E., Periskova, I., Prlic, A., Randle, C., Rose, A., Rose, P., Sala, R., Sekharan, M., Shao, C., Tan, L., Tao, Y. -P., Valasatava, Y., Voigt, M., Westbrook, J., Woo, J., Yang, H., Young, J., Zhuravleva, M., and Zardecki, C.
- Subjects
3d electron microscopy ,Biomedical Research ,Protein Conformation ,Protein Data Bank (RCSB PDB) ,Biology ,03 medical and health sciences ,Structural bioinformatics ,0302 clinical medicine ,Genetics ,Database Issue ,Databases, Protein ,Data Curation ,Biomedicine ,030304 developmental biology ,0303 health sciences ,Data curation ,business.industry ,Macromolecular crystallography ,computer.file_format ,Collaboratory ,Protein Data Bank ,Biotechnology ,business ,computer ,Software ,030217 neurology & neurosurgery - Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, rcsb.org), the US data center for the global PDB archive, serves thousands of Data Depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without usage restrictions to more than 1 million rcsb.org Users worldwide and 600 000 pdb101.rcsb.org education-focused Users around the globe. PDB Data Depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy and 3D electron microscopy. PDB Data Consumers include researchers, educators and students studying Fundamental Biology, Biomedicine, Biotechnology and Energy. Recent reorganization of RCSB PDB activities into four integrated, interdependent services is described in detail, together with tools and resources added over the past 2 years to RCSB PDB web portals in support of a ‘Structural View of Biology.’
- Published
- 2018
3. Protein Data Bank: the single global archive for 3D macromolecular structure data
- Author
-
Masashi Yokochi, Ju Yaen Kim, Chenghua Shao, John M. Berrisford, Hongyang Yao, Miron Livny, Stephen Anyango, Abhik Mukhopadhyay, Romana Gáborová, Yi-Ping Tao, Monica Sekharan, Aleksandras Gutmanas, Jose M. Dana, Mandar Deshpande, Charmi Bhikadiya, Yannis Ioannidis, Pedro Romero, Jonathan R. Wedell, Eldon L. Ulrich, Gert-Jan Bekker, Chris Randle, Chunxiao Bi, Jeffrey C. Hoch, Nurul Nadzirin, Jaroslav Koča, Yumiko Kengaku, Jasmine Young, Cole Christie, John D. Westbrook, Naohiro Kobayashi, Alexander S. Rose, Sameer Velankar, David Sehnal, Lukáš Pravda, David R. Armstrong, Hasumi Cho, Genji Kurisu, Lora Mak, John L. Markley, Saqib Mir, Sutapa Ghosh, Ardan Patwardhan, Zukang Feng, Stephen K. Burley, Robert Lowe, David S. Goodsell, Hirofumi Suzuki, Maria Voigt, Paul Gane, Jose M. Duarte, Osman Salih, Irina Periskova, Matthew J. Conroy, Toshimichi Fujiwara, Yasuyo Ikegawa, Takahiro Kudou, Dimitri Maziuk, Typhaine Paysan-Lafosse, Brian P. Hudson, Christine Zardecki, Sreenath Nair, Gerard J. Kleywegt, Marina A. Zhuravleva, Shuchismita Dutta, Dmytro Guzenko, Kumaran Baskaran, Rachel Kramer Green, Ezra Peisach, Li Chen, Reiko Yamashita, Vladimir Guranovic, Yu-He Liang, Takeshi Iwata, Atsushi Nakagawa, Haruki Nakamura, Junko Sato, Radka Svobodová Vařeková, Helen M. Berman, Deepti Gupta, Luigi Di Costanzo, Mihaly Varadi, Yana Valasatava, Burley, S. K., Berman, H. M., Bhikadiya, C., Bi, C., Chen, L., DI COSTANZO, Luigi, Addeo, PIETRO FRANCESCO BRUNO CHRISTI, Duarte, J. M., Dutta, S., Feng, Z., Ghosh, S., Goodsell, D. S., Green, R. K., Guranovic, V., Guzenko, D., Hudson, B. P., Liang, Y., Lowe, R., Peisach, E., Periskova, I., Randle, C., Rose, A., Sekharan, M., Shao, C., Tao, Y. -P., Valasatava, Y., Voigt, M., Westbrook, J., Young, J., Zardecki, C., Zhuravleva, M., Kurisu, G., Nakamura, H., Kengaku, Y., Cho, H., Sato, J., Kim, J. Y., Ikegawa, Y., Nakagawa, A., Yamashita, R., Kudou, T., Bekker, G. -J., Suzuki, H., Iwata, T., Yokochi, M., Kobayashi, N., Fujiwara, T., Velankar, S., Kleywegt, G. J., Anyango, S., Armstrong, D. R., Berrisford, J. M., Conroy, M. J., Dana, J. M., Deshpande, M., Gane, P., Gaborova, R., Gupta, D., Gutmanas, A., Koca, J., Mak, L., EL MIR, Abdelouahad, Mukhopadhyay, A., Nadzirin, N., Nair, S., Patwardhan, A., Paysan-Lafosse, T., Pravda, L., Salih, O., Sehnal, D., Varadi, M., Varekova, R., Markley, J. L., Hoch, J. C., Romero, P. R., Baskaran, K., Maziuk, D., Ulrich, E. L., Wedell, J. R., Sicong, Yao, Livny, M., and Ioannidis, Y. E.
- Subjects
Models, Molecular ,Protein Conformation ,Molecular Conformation ,Protein Data Bank (RCSB PDB) ,Master data ,Biology ,computer.software_genre ,03 medical and health sciences ,0302 clinical medicine ,Genetics ,Database Issue ,RDF ,Databases, Protein ,030304 developmental biology ,Structure (mathematical logic) ,0303 health sciences ,Database ,Experimental data ,DNA ,computer.file_format ,Atomic coordinates ,Protein Data Bank ,Metadata ,Metals ,Nucleic Acid Conformation ,RNA ,computer ,030217 neurology & neurosurgery - Abstract
The Protein Data Bank (PDB) is the single global archive of experimentally determined three-dimensional (3D) structure data of biological macromolecules. Since 2003, the PDB has been managed by the Worldwide Protein Data Bank (wwPDB; wwpdb.org), an international consortium that collaboratively oversees deposition, validation, biocuration, and open access dissemination of 3D macromolecular structure data. The PDB Core Archive houses 3D atomic coordinates of more than 144 000 structural models of proteins, DNA/RNA, and their complexes with metals and small molecules and related experimental data and metadata. Structure and experimental data/metadata are also stored in the PDB Core Archive using the readily extensible wwPDB PDBx/mmCIF master data format, which will continue to evolve as data/metadata from new experimental techniques and structure determination methods are incorporated by the wwPDB. Impacts of the recently developed universal wwPDB OneDep deposition/validation/biocuration system and various methods-specific wwPDB Validation Task Forces on improving the quality of structures and data housed in the PDB Core Archive are described together with current challenges and future plans.
- Published
- 2018
4. OneDep: Unified wwPDB System for Deposition, Biocuration, and Validation of Macromolecular Structures in the PDB Archive
- Author
-
Marina Zhuravleva, Ezra Peisach, Monica Sekharan, Glen van Ginkel, Reiko Igarashi, Jasmine Young, M. Saqib Mir, Lora Mak, Dimitris Dimitropoulos, Raul Sala, David R. Armstrong, Sanchayita Sen, Sameer Velankar, Gerard J. Kleywegt, Li Chen, Lihua Tan, Swanand Gore, Reiko Yamashita, Sutapa Ghosh, Eduardo Sanz-García, Zukang Feng, John D. Westbrook, Vladimir Guranovic, Yu-He Liang, Aleksandras Gutmanas, Thomas J. Oldfield, Brian P. Hudson, Huanwang Yang, Minyu Chen, Guanghua Gao, G. Jawahar Swaminathan, Eldon L. Ulrich, Yasuyo Ikegawa, Naohiro Kobayashi, Irina Persikova, Luigi Di Costanzo, Steve Mading, John L. Markley, Chenghua Shao, Helen M. Berman, Luana Rinaldi, Ardan Patwardhan, John M. Berrisford, Abhik Mukhopadhyay, Haruki Nakamura, Stephen K. Burley, Catherine L. Lawson, Pieter M. S. Hendrickx, Martha Quesada, Young, J. Y., Westbrook, J. D., Feng, Z., Sala, R., Peisach, E., Oldfield, T. J., Sen, S., Gutmanas, A., Armstrong, D. R., Berrisford, J. M., Chen, L., Chen, M., DI COSTANZO, Luigi, Dimitropoulos, D., Gao, G., Ghosh, S., Gore, S., Guranovic, V., Hendrickx, P. M. S., Hudson, B. P., Igarashi, R., Ikegawa, Y., Kobayashi, N., Lawson, C. L., Liang, Y., Mading, S., Mak, L., Mir, M. S., Mukhopadhyay, A., Patwardhan, A., Persikova, I., Rinaldi, L., Sanz-Garcia, E., Sekharan, M. R., Shao, C., Swaminathan, G. J., Tan, L., Ulrich, E. L., van Ginkel, G., Yamashita, R., Yang, H., Zhuravleva, M. A., Quesada, M., Kleywegt, G. J., Berman, H. M., Markley, J. L., Nakamura, H., Velankar, S., and Burley, S. K.
- Subjects
0301 basic medicine ,Models, Molecular ,data deposition ,PDB ,Computer science ,Protein Conformation ,Protein Data Bank (RCSB PDB) ,Article ,03 medical and health sciences ,User-Computer Interface ,Average size ,Protein Data Bank ,structural biology ,Databases, Protein ,Molecular Biology ,Nuclear Magnetic Resonance, Biomolecular ,Data Curation ,Research data ,validation ,Internet ,business.industry ,biocuration ,Protein ,Proteins ,computer.file_format ,research data ,3D macromolecular structure ,Unified system ,data archiving ,030104 developmental biology ,wwPDB ,Software engineering ,business ,computer - Abstract
OneDep, a unified system for deposition, biocuration, and validation of experimentally determined structures of biological macromolecules to the Protein Data Bank (PDB) archive, has been developed as a global collaboration by the Worldwide Protein Data Bank (wwPDB) partners. This new system was designed to ensure that the wwPDB could meet the evolving archiving requirements of the scientific community over the coming decades. OneDep unifies deposition, biocuration, and validation pipelines across all wwPDB, EMDB, and BMRB deposition sites with improved focus on data quality and completeness in these archives, while supporting growth in the number of depositions and increases in their average size and complexity. In this paper, we describe the design, functional operation, and supporting infrastructure of the OneDep system, and provide initial performance assessments.
- Published
- 2018
- Full Text
- View/download PDF
5. Worldwide Protein Data Bank biocuration supporting open access to high-quality 3D structural biology data
- Author
-
Marina Zhuravleva, Raul Sala, Lora Mak, Stephen K. Burley, Monica Sekharan, Oliver S. Smart, Brian P. Hudson, Ardan Patwardhan, Gerard J. Kleywegt, Alice R. Clark, Guanghua Gao, Kumaran Baskaran, Sutapa Ghosh, David R. Armstrong, Kayoko Nishiyama, John M. Berrisford, Ezra Peisach, Abhik Mukhopadhyay, G. Jawahar Swaminathan, Huanwang Yang, Minyu Chen, Catherine L. Lawson, Thomas J. Oldfield, Junko Sato, Zukang Feng, Helen M. Berman, Yumiko Kengaku, Chenghua Shao, Glen van Ginkel, Irina Persikova, John L. Markley, Genji Kurisu, Yasuyo Ikegawa, Jasmine Young, Pieter M. S. Hendrickx, Luigi Di Costanzo, Aleksandras Gutmanas, John D. Westbrook, Reiko Igarashi, Buvaneswari Coimbatore Narayanan, Li Chen, Eduardo Sanz-García, Vladimir Guranovic, Yu-He Liang, Haruki Nakamura, Gaurav Sahni, Sameer Velankar, Sanchayita Sen, Lihua Tan, Swanand Gore, Dimitris Dimitropoulos, Young, J. Y., Westbrook, J. D., Feng, Z., Peisach, E., Persikova, I., Sala, R., Sen, S., Berrisford, J. M., Swaminathan, G. J., Oldfield, T. J., Gutmanas, A., Igarashi, R., Armstrong, D. R., Baskaran, K., Chen, L., Chen, M., Clark, A. R., DI COSTANZO, Luigi, Dimitropoulos, D., Gao, G., Ghosh, S., Gore, S., Guranovic, V., Hendrickx, P. M. S., Hudson, B. P., Ikegawa, Y., Kengaku, Y., Lawson, C. L., Liang, Y., Mak, L., Mukhopadhyay, A., Narayanan, B., Nishiyama, K., Patwardhan, A., Sahni, G., Sanz-Garcia, E., Sato, J., Sekharan, M. R., Shao, C., Smart, O. S., Tan, L., Van Ginkel, G., Yang, H., Zhuravleva, M. A., Markley, J. L., Nakamura, H., Kurisu, G., Kleywegt, G. J., Velankar, S., Berman, H. M., and Burley, S. K.
- Subjects
0301 basic medicine ,Vocabulary ,Data curation ,Protein Conformation ,Extramural ,Computer science ,media_common.quotation_subject ,MEDLINE ,computer.file_format ,Protein Data Bank ,Data science ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,030104 developmental biology ,Vocabulary, Controlled ,Structural biology ,Original Article ,Quality (business) ,Databases, Protein ,General Agricultural and Biological Sciences ,computer ,Data Curation ,Information Systems ,media_common - Abstract
The Protein Data Bank (PDB) is the single global repository for experimentally determined 3D structures of biological macromolecules and their complexes with ligands. The worldwide PDB (wwPDB) is the international collaboration that manages the PDB archive according to the FAIR principles: Findability, Accessibility, Interoperability and Reusability. The wwPDB recently developed OneDep, a unified tool for deposition, validation and biocuration of structures of biological macromolecules. All data deposited to the PDB undergo critical review by wwPDB Biocurators. This article outlines the importance of biocuration for structural biology data deposited to the PDB and describes wwPDB biocuration processes and the role of expert Biocurators in sustaining a high-quality archive. Structural data submitted to the PDB are examined for self-consistency, standardized using controlled vocabularies, cross-referenced with other biological data resources and validated for scientific/technical accuracy. We illustrate how biocuration is integral to PDB data archiving, as it facilitates accurate, consistent and comprehensive representation of biological structure data, allowing efficient and effective usage by research scientists, educators, students and the curious public worldwide. Database URL: https://www.wwpdb.org/
- Published
- 2018
6. RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning.
- Author
-
Burley SK, Bhikadiya C, Bi C, Bittrich S, Chao H, Chen L, Craig PA, Crichlow GV, Dalenberg K, Duarte JM, Dutta S, Fayazi M, Feng Z, Flatt JW, Ganesan S, Ghosh S, Goodsell DS, Green RK, Guranovic V, Henry J, Hudson BP, Khokhriakov I, Lawson CL, Liang Y, Lowe R, Peisach E, Persikova I, Piehl DW, Rose Y, Sali A, Segura J, Sekharan M, Shao C, Vallat B, Voigt M, Webb B, Westbrook JD, Whetstone S, Young JY, Zalevsky A, and Zardecki C
- Subjects
- Machine Learning, Protein Conformation, Reproducibility of Results, Artificial Intelligence, Databases, Protein, Proteins chemistry
- Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center for the open-access PDB archive. As wwPDB-designated Archive Keeper, RCSB PDB is also responsible for PDB data security. Annually, RCSB PDB serves >10 000 depositors of three-dimensional (3D) biostructures working on all permanently inhabited continents. RCSB PDB delivers data from its research-focused RCSB.org web portal to many millions of PDB data consumers based in virtually every United Nations-recognized country, territory, etc. This Database Issue contribution describes upgrades to the research-focused RCSB.org web portal that created a one-stop-shop for open access to ∼200 000 experimentally-determined PDB structures of biological macromolecules alongside >1 000 000 incorporated Computed Structure Models (CSMs) predicted using artificial intelligence/machine learning methods. RCSB.org is a 'living data resource.' Every PDB structure and CSM is integrated weekly with related functional annotations from external biodata resources, providing up-to-date information for the entire corpus of 3D biostructure data freely available from RCSB.org with no usage limitations. Within RCSB.org, PDB structures and the CSMs are clearly identified as to their provenance and reliability. Both are fully searchable, and can be analyzed and visualized using the full complement of RCSB.org web portal capabilities., (© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Published
- 2023
- Full Text
- View/download PDF
7. RCSB Protein Data bank: Tools for visualizing and understanding biological macromolecules in 3D.
- Author
-
Burley SK, Bhikadiya C, Bi C, Bittrich S, Chao H, Chen L, Craig PA, Crichlow GV, Dalenberg K, Duarte JM, Dutta S, Fayazi M, Feng Z, Flatt JW, Ganesan SJ, Ghosh S, Goodsell DS, Green RK, Guranovic V, Henry J, Hudson BP, Khokhriakov I, Lawson CL, Liang Y, Lowe R, Peisach E, Persikova I, Piehl DW, Rose Y, Sali A, Segura J, Sekharan M, Shao C, Vallat B, Voigt M, Webb B, Westbrook JD, Whetstone S, Young JY, Zalevsky A, and Zardecki C
- Subjects
- Humans, Protein Conformation, Databases, Protein, Macromolecular Substances chemistry, Proteins chemistry, Computational Biology methods
- Abstract
Now in its 52nd year of continuous operations, the Protein Data Bank (PDB) is the premiere open-access global archive housing three-dimensional (3D) biomolecular structure data. It is jointly managed by the Worldwide Protein Data Bank (wwPDB) partnership. The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is funded by the National Science Foundation, National Institutes of Health, and US Department of Energy and serves as the US data center for the wwPDB. RCSB PDB is also responsible for the security of PDB data in its role as wwPDB-designated Archive Keeper. Every year, RCSB PDB serves tens of thousands of depositors of 3D macromolecular structure data (coming from macromolecular crystallography, nuclear magnetic resonance spectroscopy, electron microscopy, and micro-electron diffraction). The RCSB PDB research-focused web portal (RCSB.org) makes PDB data available at no charge and without usage restrictions to many millions of PDB data consumers around the world. The RCSB PDB training, outreach, and education web portal (PDB101.RCSB.org) serves nearly 700 K educators, students, and members of the public worldwide. This invited Tools Issue contribution describes how RCSB PDB (i) is organized; (ii) works with wwPDB partners to process new depositions; (iii) serves as the wwPDB-designated Archive Keeper; (iv) enables exploration and 3D visualization of PDB data via RCSB.org; and (v) supports training, outreach, and education via PDB101.RCSB.org. New tools and features at RCSB.org are presented using examples drawn from high-resolution structural studies of proteins relevant to treatment of human cancers by targeting immune checkpoints., (© 2022 The Protein Society.)
- Published
- 2022
- Full Text
- View/download PDF
8. PDBx/mmCIF Ecosystem: Foundational Semantic Tools for Structural Biology.
- Author
-
Westbrook JD, Young JY, Shao C, Feng Z, Guranovic V, Lawson CL, Vallat B, Adams PD, Berrisford JM, Bricogne G, Diederichs K, Joosten RP, Keller P, Moriarty NW, Sobolev OV, Velankar S, Vonrhein C, Waterman DG, Kurisu G, Berman HM, Burley SK, and Peisach E
- Subjects
- Macromolecular Substances chemistry, Molecular Biology, Protein Conformation, Semantics, Computational Biology, Crystallography, Databases, Protein, Software
- Abstract
PDBx/mmCIF, Protein Data Bank Exchange (PDBx) macromolecular Crystallographic Information Framework (mmCIF), has become the data standard for structural biology. With its early roots in the domain of small-molecule crystallography, PDBx/mmCIF provides an extensible data representation that is used for deposition, archiving, remediation, and public dissemination of experimentally determined three-dimensional (3D) structures of biological macromolecules by the Worldwide Protein Data Bank (wwPDB, wwpdb.org). Extensions of PDBx/mmCIF are similarly used for computed structure models by ModelArchive (modelarchive.org), integrative/hybrid structures by PDB-Dev (pdb-dev.wwpdb.org), small angle scattering data by Small Angle Scattering Biological Data Bank SASBDB (sasbdb.org), and for models computed generated with the AlphaFold 2.0 deep learning software suite (alphafold.ebi.ac.uk). Community-driven development of PDBx/mmCIF spans three decades, involving contributions from researchers, software and methods developers in structural sciences, data repository providers, scientific publishers, and professional societies. Having a semantically rich and extensible data framework for representing a wide range of structural biology experimental and computational results, combined with expertly curated 3D biostructure data sets in public repositories, accelerates the pace of scientific discovery. Herein, we describe the architecture of the PDBx/mmCIF data standard, tools used to maintain representations of the data standard, governance, and processes by which data content standards are extended, plus community tools/software libraries available for processing and checking the integrity of PDBx/mmCIF data. Use cases exemplify how the members of the Worldwide Protein Data Bank have used PDBx/mmCIF as the foundation for its pipeline for delivering Findable, Accessible, Interoperable, and Reusable (FAIR) data to many millions of users worldwide., Competing Interests: Declaration of Competing Interest. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
9. RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D.
- Author
-
Burley SK, Bhikadiya C, Bi C, Bittrich S, Chen L, Crichlow GV, Duarte JM, Dutta S, Fayazi M, Feng Z, Flatt JW, Ganesan SJ, Goodsell DS, Ghosh S, Kramer Green R, Guranovic V, Henry J, Hudson BP, Lawson CL, Liang Y, Lowe R, Peisach E, Persikova I, Piehl DW, Rose Y, Sali A, Segura J, Sekharan M, Shao C, Vallat B, Voigt M, Westbrook JD, Whetstone S, Young JY, and Zardecki C
- Subjects
- Anniversaries and Special Events, History, 20th Century, History, 21st Century, Computational Biology history, Databases, Protein history, User-Computer Interface
- Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), funded by the US National Science Foundation, National Institutes of Health, and Department of Energy, has served structural biologists and Protein Data Bank (PDB) data consumers worldwide since 1999. RCSB PDB, a founding member of the Worldwide Protein Data Bank (wwPDB) partnership, is the US data center for the global PDB archive housing biomolecular structure data. RCSB PDB is also responsible for the security of PDB data, as the wwPDB-designated Archive Keeper. Annually, RCSB PDB serves tens of thousands of three-dimensional (3D) macromolecular structure data depositors (using macromolecular crystallography, nuclear magnetic resonance spectroscopy, electron microscopy, and micro-electron diffraction) from all inhabited continents. RCSB PDB makes PDB data available from its research-focused RCSB.org web portal at no charge and without usage restrictions to millions of PDB data consumers working in every nation and territory worldwide. In addition, RCSB PDB operates an outreach and education PDB101.RCSB.org web portal that was used by more than 800,000 educators, students, and members of the public during calendar year 2020. This invited Tools Issue contribution describes (i) how the archive is growing and evolving as new experimental methods generate ever larger and more complex biomolecular structures; (ii) the importance of data standards and data remediation in effective management of the archive and facile integration with more than 50 external data resources; and (iii) new tools and features for 3D structure analysis and visualization made available during the past year via the RCSB.org web portal., (© 2021 The Protein Society.)
- Published
- 2022
- Full Text
- View/download PDF
10. RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy.
- Author
-
Burley SK, Berman HM, Bhikadiya C, Bi C, Chen L, Di Costanzo L, Christie C, Dalenberg K, Duarte JM, Dutta S, Feng Z, Ghosh S, Goodsell DS, Green RK, Guranovic V, Guzenko D, Hudson BP, Kalro T, Liang Y, Lowe R, Namkoong H, Peisach E, Periskova I, Prlic A, Randle C, Rose A, Rose P, Sala R, Sekharan M, Shao C, Tan L, Tao YP, Valasatava Y, Voigt M, Westbrook J, Woo J, Yang H, Young J, Zhuravleva M, and Zardecki C
- Subjects
- Biomedical Research education, Biotechnology education, Data Curation, Software, Databases, Protein, Protein Conformation
- Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, rcsb.org), the US data center for the global PDB archive, serves thousands of Data Depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without usage restrictions to more than 1 million rcsb.org Users worldwide and 600 000 pdb101.rcsb.org education-focused Users around the globe. PDB Data Depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy and 3D electron microscopy. PDB Data Consumers include researchers, educators and students studying Fundamental Biology, Biomedicine, Biotechnology and Energy. Recent reorganization of RCSB PDB activities into four integrated, interdependent services is described in detail, together with tools and resources added over the past 2 years to RCSB PDB web portals in support of a 'Structural View of Biology.'
- Published
- 2019
- Full Text
- View/download PDF
11. Worldwide Protein Data Bank biocuration supporting open access to high-quality 3D structural biology data.
- Author
-
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, and Burley SK
- Subjects
- Data Curation, Databases, Protein, Protein Conformation, Vocabulary, Controlled
- Abstract
Database Url: https://www.wwpdb.org/.
- Published
- 2018
- Full Text
- View/download PDF
12. OneDep: Unified wwPDB System for Deposition, Biocuration, and Validation of Macromolecular Structures in the PDB Archive.
- Author
-
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, and Burley SK
- Subjects
- Data Curation, Databases, Protein, Internet, Models, Molecular, Nuclear Magnetic Resonance, Biomolecular, Protein Conformation, User-Computer Interface, Proteins chemistry
- Abstract
OneDep, a unified system for deposition, biocuration, and validation of experimentally determined structures of biological macromolecules to the PDB archive, has been developed as a global collaboration by the worldwide PDB (wwPDB) partners. This new system was designed to ensure that the wwPDB could meet the evolving archiving requirements of the scientific community over the coming decades. OneDep unifies deposition, biocuration, and validation pipelines across all wwPDB, EMDB, and BMRB deposition sites with improved focus on data quality and completeness in these archives, while supporting growth in the number of depositions and increases in their average size and complexity. In this paper, we describe the design, functional operation, and supporting infrastructure of the OneDep system, and provide initial performance assessments., (Published by Elsevier Ltd.)
- Published
- 2017
- Full Text
- View/download PDF
13. Automated and accurate deposition of structures solved by X-ray diffraction to the Protein Data Bank.
- Author
-
Yang H, Guranovic V, Dutta S, Feng Z, Berman HM, and Westbrook JD
- Subjects
- Automation, Computational Biology, Crystallography, X-Ray, Database Management Systems, Information Storage and Retrieval, Models, Molecular, Protein Conformation, Reproducibility of Results, Sequence Analysis, Protein, Software, Databases, Protein, Proteins chemistry, X-Ray Diffraction
- Abstract
The RCSB Protein Data Bank (PDB) has a number of options for deposition of structural data and has developed software tools to facilitate the process. In addition to ADIT and the PDB Validation Suite, a new software application, pdb_extract, has been designed to promote automatic data deposition of structures solved by X-ray diffraction. The pdb_extract software can extract information about data reduction, phasing, molecular replacement, density modification and refinement from the output files produced by many X-ray crystallographic applications. The options, procedures and tools for accurate and automated PDB data deposition are described here.
- Published
- 2004
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.