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1.
Nucleic Acids Res ; 51(D1): D488-D508, 2023 01 06.
Artigo em Inglês | MEDLINE | ID: mdl-36420884

RESUMO

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.


Assuntos
Inteligência Artificial , Bases de Dados de Proteínas , Proteínas , Aprendizado de Máquina , Conformação Proteica , Proteínas/química , Reprodutibilidade dos Testes
2.
Bioinformatics ; 38(5): 1452-1454, 2022 02 07.
Artigo em Inglês | MEDLINE | ID: mdl-34864908

RESUMO

MOTIVATION: Membrane proteins are encoded by approximately one fifth of human genes but account for more than half of all US FDA approved drug targets. Thanks to new technological advances, the number of membrane proteins archived in the PDB is growing rapidly. However, automatic identification of membrane proteins or inference of membrane location is not a trivial task. RESULTS: We present recent improvements to the RCSB Protein Data Bank web portal (RCSB PDB, rcsb.org) that provide a wealth of new membrane protein annotations integrated from four external resources: OPM, PDBTM, MemProtMD and mpstruc. We have substantially enhanced the presentation of data on membrane proteins. The number of membrane proteins with annotations available on rcsb.org was increased by ∼80%. Users can search for these annotations, explore corresponding tree hierarchies, display membrane segments at the 1D amino acid sequence level, and visualize the predicted location of the membrane layer in 3D. AVAILABILITY AND IMPLEMENTATION: Annotations, search, tree data and visualization are available at our rcsb.org web portal. Membrane visualization is supported by the open-source Mol* viewer (molstar.org and github.com/molstar/molstar). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Assuntos
Proteínas de Membrana , Software , Humanos , Conformação Proteica , Bases de Dados de Proteínas , Sequência de Aminoácidos
3.
Nucleic Acids Res ; 49(D1): D437-D451, 2021 01 08.
Artigo em Inglês | MEDLINE | ID: mdl-33211854

RESUMO

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), the US data center for the global PDB archive and a founding member of the Worldwide Protein Data Bank partnership, serves tens of thousands of data depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without restrictions to millions of RCSB.org users around the world, including >660 000 educators, students and members of the curious public using PDB101.RCSB.org. PDB data depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy, 3D electron microscopy and micro-electron diffraction. PDB data consumers accessing our web portals include researchers, educators and students studying fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences. During the past 2 years, the research-focused RCSB PDB web portal (RCSB.org) has undergone a complete redesign, enabling improved searching with full Boolean operator logic and more facile access to PDB data integrated with >40 external biodata resources. New features and resources are described in detail using examples that showcase recently released structures of SARS-CoV-2 proteins and host cell proteins relevant to understanding and addressing the COVID-19 global pandemic.


Assuntos
Biologia Computacional/métodos , Bases de Dados de Proteínas , Substâncias Macromoleculares/química , Conformação Proteica , Proteínas/química , Bioengenharia/métodos , Pesquisa Biomédica/métodos , Biotecnologia/métodos , COVID-19/epidemiologia , COVID-19/prevenção & controle , COVID-19/virologia , Humanos , Substâncias Macromoleculares/metabolismo , Pandemias , Proteínas/genética , Proteínas/metabolismo , SARS-CoV-2/genética , SARS-CoV-2/metabolismo , SARS-CoV-2/fisiologia , Software , Proteínas Virais/química , Proteínas Virais/genética , Proteínas Virais/metabolismo
4.
Proteins ; 90(5): 1054-1080, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-34580920

RESUMO

Understanding the molecular evolution of the SARS-CoV-2 virus as it continues to spread in communities around the globe is important for mitigation and future pandemic preparedness. Three-dimensional structures of SARS-CoV-2 proteins and those of other coronavirusess archived in the Protein Data Bank were used to analyze viral proteome evolution during the first 6 months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48 000 viral isolates revealed how each one of 29 viral proteins have undergone amino acid changes. Catalytic residues in active sites and binding residues in protein-protein interfaces showed modest, but significant, numbers of substitutions, highlighting the mutational robustness of the viral proteome. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for potential drug discovery targets and the four structural proteins that comprise the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and protein-protein and protein-nucleic acid interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.


Assuntos
COVID-19 , Pandemias , Aminoácidos , Humanos , Estudos Prospectivos , Proteoma , SARS-CoV-2 , Proteínas Virais/genética , Proteínas Virais/metabolismo
5.
Glycobiology ; 31(9): 1204-1218, 2021 09 20.
Artigo em Inglês | MEDLINE | ID: mdl-33978738

RESUMO

Since 1971, the Protein Data Bank (PDB) has served as the single global archive for experimentally determined 3D structures of biological macromolecules made freely available to the global community according to the FAIR principles of Findability-Accessibility-Interoperability-Reusability. During the first 50 years of continuous PDB operations, standards for data representation have evolved to better represent rich and complex biological phenomena. Carbohydrate molecules present in more than 14,000 PDB structures have recently been reviewed and remediated to conform to a new standardized format. This machine-readable data representation for carbohydrates occurring in the PDB structures and the corresponding reference data improves the findability, accessibility, interoperability and reusability of structural information pertaining to these molecules. The PDB Exchange MacroMolecular Crystallographic Information File data dictionary now supports (i) standardized atom nomenclature that conforms to International Union of Pure and Applied Chemistry-International Union of Biochemistry and Molecular Biology (IUPAC-IUBMB) recommendations for carbohydrates, (ii) uniform representation of branched entities for oligosaccharides, (iii) commonly used linear descriptors of carbohydrates developed by the glycoscience community and (iv) annotation of glycosylation sites in proteins. For the first time, carbohydrates in PDB structures are consistently represented as collections of standardized monosaccharides, which precisely describe oligosaccharide structures and enable improved carbohydrate visualization, structure validation, robust quantitative and qualitative analyses, search for dendritic structures and classification. The uniform representation of carbohydrate molecules in the PDB described herein will facilitate broader usage of the resource by the glycoscience community and researchers studying glycoproteins.


Assuntos
Carboidratos , Proteínas , Carboidratos/química , Bases de Dados de Proteínas , Proteínas/química
6.
Nucleic Acids Res ; 45(D1): D271-D281, 2017 01 04.
Artigo em Inglês | MEDLINE | ID: mdl-27794042

RESUMO

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://rcsb.org), the US data center for the global PDB archive, makes PDB data freely available to all users, from structural biologists to computational biologists and beyond. New tools and resources have been added to the RCSB PDB web portal in support of a 'Structural View of Biology.' Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration. Structure validation information is now visible for all archival entries. PDB data have been integrated with external biological resources, including chromosomal position within the human genome; protein modifications; and metabolic pathways. PDB-101 educational materials have been reorganized into a searchable website and expanded to include new features such as the Geis Digital Archive.


Assuntos
Biologia Computacional/métodos , Bases de Dados Genéticas , Proteínas/química , Proteínas/genética , Conjuntos de Dados como Assunto , Redes e Vias Metabólicas , Modelos Moleculares , Conformação Proteica , Proteínas/metabolismo , Software , Relação Estrutura-Atividade , Interface Usuário-Computador , Navegador
7.
Nucleic Acids Res ; 44(D1): D396-403, 2016 Jan 04.
Artigo em Inglês | MEDLINE | ID: mdl-26578576

RESUMO

Three-dimensional Electron Microscopy (3DEM) has become a key experimental method in structural biology for a broad spectrum of biological specimens from molecules to cells. The EMDataBank project provides a unified portal for deposition, retrieval and analysis of 3DEM density maps, atomic models and associated metadata (emdatabank.org). We provide here an overview of the rapidly growing 3DEM structural data archives, which include maps in EM Data Bank and map-derived models in the Protein Data Bank. In addition, we describe progress and approaches toward development of validation protocols and methods, working with the scientific community, in order to create a validation pipeline for 3DEM data.


Assuntos
Bases de Dados Factuais , Imageamento Tridimensional , Substâncias Macromoleculares/química , Microscopia Eletrônica , Bases de Dados de Proteínas , Modelos Moleculares , Proteínas/química
8.
Adv Exp Med Biol ; 1105: 261-272, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30617834

RESUMO

Integrative or hybrid structural biology involves the determination of three-dimensional structures of macromolecular assemblies by combining information from a variety of experimental and computational methods. Archiving the results of integrative/hybrid modeling methods have complex requirements and existing archiving mechanisms are insufficient to handle these pre-requisites. Three concepts important for archiving integrative/hybrid models are presented in this chapter: (1) building a federated network of structural model and experimental data archives, (2) development of a common set of data standards, and (3) creation of mechanisms for interoperation and data exchange among the repositories in a federation. Methods proposed for achieving these objectives are also discussed.


Assuntos
Substâncias Macromoleculares/química , Modelos Moleculares , Biologia Molecular
9.
Nucleic Acids Res ; 43(Database issue): D345-56, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25428375

RESUMO

The RCSB Protein Data Bank (RCSB PDB, http://www.rcsb.org) provides access to 3D structures of biological macromolecules and is one of the leading resources in biology and biomedicine worldwide. Our efforts over the past 2 years focused on enabling a deeper understanding of structural biology and providing new structural views of biology that support both basic and applied research and education. Herein, we describe recently introduced data annotations including integration with external biological resources, such as gene and drug databases, new visualization tools and improved support for the mobile web. We also describe access to data files, web services and open access software components to enable software developers to more effectively mine the PDB archive and related annotations. Our efforts are aimed at expanding the role of 3D structure in understanding biology and medicine.


Assuntos
Bases de Dados de Proteínas , Conformação Proteica , Sítios de Ligação , Internet , Proteínas de Membrana/química , Biologia Molecular/educação , Anotação de Sequência Molecular , Complexos Multiproteicos/química , Peptídeos/química , Preparações Farmacêuticas/química , Pesquisa , Software
10.
Bioinformatics ; 31(8): 1274-8, 2015 Apr 15.
Artigo em Inglês | MEDLINE | ID: mdl-25540181

RESUMO

UNLABELLED: The Chemical Component Dictionary (CCD) is a chemical reference data resource that describes all residue and small molecule components found in Protein Data Bank (PDB) entries. The CCD contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, chemical descriptors, systematic chemical names and idealized coordinates. The content, preparation, validation and distribution of this CCD chemical reference dataset are described. AVAILABILITY AND IMPLEMENTATION: The CCD is updated regularly in conjunction with the scheduled weekly release of new PDB structure data. The CCD and amino acid variant reference datasets are hosted in the public PDB ftp repository at ftp://ftp.wwpdb.org/pub/pdb/data/monomers/components.cif.gz, ftp://ftp.wwpdb.org/pub/pdb/data/monomers/aa-variants-v1.cif.gz, and its mirror sites, and can be accessed from http://wwpdb.org. CONTACT: jwest@rcsb.rutgers.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Assuntos
Bases de Dados de Compostos Químicos , Bases de Dados de Proteínas , Dicionários Químicos como Assunto , Substâncias Macromoleculares/química , Anotação de Sequência Molecular , Internet , Ligantes , Interface Usuário-Computador
11.
Nucleic Acids Res ; 41(Database issue): D475-82, 2013 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-23193259

RESUMO

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) develops tools and resources that provide a structural view of biology for research and education. The RCSB PDB web site (http://www.rcsb.org) uses the curated 3D macromolecular data contained in the PDB archive to offer unique methods to access, report and visualize data. Recent activities have focused on improving methods for simple and complex searches of PDB data, creating specialized access to chemical component data and providing domain-based structural alignments. New educational resources are offered at the PDB-101 educational view of the main web site such as Author Profiles that display a researcher's PDB entries in a timeline. To promote different kinds of access to the RCSB PDB, Web Services have been expanded, and an RCSB PDB Mobile application for the iPhone/iPad has been released. These improvements enable new opportunities for analyzing and understanding structure data.


Assuntos
Bases de Dados de Proteínas , Conformação Proteica , Bioquímica/educação , Gráficos por Computador , Internet , Ligantes , Estrutura Terciária de Proteína , Pesquisa , Homologia Estrutural de Proteína
12.
Database (Oxford) ; 20242024 May 27.
Artigo em Inglês | MEDLINE | ID: mdl-38803272

RESUMO

The Protein Data Bank (PDB) is the global repository for public-domain experimentally determined 3D biomolecular structural information. The archival nature of the PDB presents certain challenges pertaining to updating or adding associated annotations from trusted external biodata resources. While each Worldwide PDB (wwPDB) partner has made best efforts to provide up-to-date external annotations, accessing and integrating information from disparate wwPDB data centers can be an involved process. To address this issue, the wwPDB has established the PDB Next Generation (or NextGen) Archive, developed to centralize and streamline access to enriched structural annotations from wwPDB partners and trusted external sources. At present, the NextGen Archive provides mappings between experimentally determined 3D structures of proteins and UniProt amino acid sequences, domain annotations from Pfam, SCOP2 and CATH databases and intra-molecular connectivity information. Since launch, the PDB NextGen Archive has seen substantial user engagement with over 3.5 million data file downloads, ensuring researchers have access to accurate, up-to-date and easily accessible structural annotations. Database URL: http://www.wwpdb.org/ftp/pdb-nextgen-archive-site.


Assuntos
Bases de Dados de Proteínas , Anotação de Sequência Molecular , Proteínas/química
13.
Structure ; 32(6): 824-837.e1, 2024 Jun 06.
Artigo em Inglês | MEDLINE | ID: mdl-38490206

RESUMO

Biomolecular structure analysis from experimental NMR studies generally relies on restraints derived from a combination of experimental and knowledge-based data. A challenge for the structural biology community has been a lack of standards for representing these restraints, preventing the establishment of uniform methods of model-vs-data structure validation against restraints and limiting interoperability between restraint-based structure modeling programs. The NEF and NMR-STAR formats provide a standardized approach for representing commonly used NMR restraints. Using these restraint formats, a standardized validation system for assessing structural models of biopolymers against restraints has been developed and implemented in the wwPDB OneDep data deposition-validation-biocuration system. The resulting wwPDB restraint violation report provides a model vs. data assessment of biomolecule structures determined using distance and dihedral restraints, with extensions to other restraint types currently being implemented. These tools are useful for assessing NMR models, as well as for assessing biomolecular structure predictions based on distance restraints.


Assuntos
Bases de Dados de Proteínas , Modelos Moleculares , Ressonância Magnética Nuclear Biomolecular , Conformação Proteica , Proteínas , Ressonância Magnética Nuclear Biomolecular/métodos , Proteínas/química , Software
14.
bioRxiv ; 2024 Jan 22.
Artigo em Inglês | MEDLINE | ID: mdl-38328042

RESUMO

Biomolecular structure analysis from experimental NMR studies generally relies on restraints derived from a combination of experimental and knowledge-based data. A challenge for the structural biology community has been a lack of standards for representing these restraints, preventing the establishment of uniform methods of model-vs-data structure validation against restraints and limiting interoperability between restraint-based structure modeling programs. The NMR exchange (NEF) and NMR-STAR formats provide a standardized approach for representing commonly used NMR restraints. Using these restraint formats, a standardized validation system for assessing structural models of biopolymers against restraints has been developed and implemented in the wwPDB OneDep data deposition-validation-biocuration system. The resulting wwPDB Restraint Violation Report provides a model vs. data assessment of biomolecule structures determined using distance and dihedral restraints, with extensions to other restraint types currently being implemented. These tools are useful for assessing NMR models, as well as for assessing biomolecular structure predictions based on distance restraints.

15.
J Mol Biol ; : 168546, 2024 Mar 18.
Artigo em Inglês | MEDLINE | ID: mdl-38508301

RESUMO

IHMCIF (github.com/ihmwg/IHMCIF) is a data information framework that supports archiving and disseminating macromolecular structures determined by integrative or hybrid modeling (IHM), and making them Findable, Accessible, Interoperable, and Reusable (FAIR). IHMCIF is an extension of the Protein Data Bank Exchange/macromolecular Crystallographic Information Framework (PDBx/mmCIF) that serves as the framework for the Protein Data Bank (PDB) to archive experimentally determined atomic structures of biological macromolecules and their complexes with one another and small molecule ligands (e.g., enzyme cofactors and drugs). IHMCIF serves as the foundational data standard for the PDB-Dev prototype system, developed for archiving and disseminating integrative structures. It utilizes a flexible data representation to describe integrative structures that span multiple spatiotemporal scales and structural states with definitions for restraints from a variety of experimental methods contributing to integrative structural biology. The IHMCIF extension was created with the benefit of considerable community input and recommendations gathered by the Worldwide Protein Data Bank (wwPDB) Task Force for Integrative or Hybrid Methods (wwpdb.org/task/hybrid). Herein, we describe the development of IHMCIF to support evolving methodologies and ongoing advancements in integrative structural biology. Ultimately, IHMCIF will facilitate the unification of PDB-Dev data and tools with the PDB archive so that integrative structures can be archived and disseminated through PDB.

16.
ArXiv ; 2024 Feb 02.
Artigo em Inglês | MEDLINE | ID: mdl-38076521

RESUMO

In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such structures. This report describes the workshop's motivation and history, the topics discussed, and consensus recommendations resulting from the workshop. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.

17.
IUCrJ ; 11(Pt 2): 140-151, 2024 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-38358351

RESUMO

In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for the deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such structures. This report describes the workshop's motivation and history, the topics discussed, and the resulting consensus recommendations. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.


Assuntos
Curadoria de Dados , Microscopia Crioeletrônica/métodos
18.
Nucleic Acids Res ; 39(Database issue): D392-401, 2011 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-21036868

RESUMO

The RCSB Protein Data Bank (RCSB PDB) web site (http://www.pdb.org) has been redesigned to increase usability and to cater to a larger and more diverse user base. This article describes key enhancements and new features that fall into the following categories: (i) query and analysis tools for chemical structure searching, query refinement, tabulation and export of query results; (ii) web site customization and new structure alerts; (iii) pair-wise and representative protein structure alignments; (iv) visualization of large assemblies; (v) integration of structural data with the open access literature and binding affinity data; and (vi) web services and web widgets to facilitate integration of PDB data and tools with other resources. These improvements enable a range of new possibilities to analyze and understand structure data. The next generation of the RCSB PDB web site, as described here, provides a rich resource for research and education.


Assuntos
Bases de Dados de Proteínas , Proteínas/química , Animais , Gráficos por Computador , Humanos , Internet , Ligantes , Camundongos , Conformação Proteica , Integração de Sistemas , Interface Usuário-Computador
19.
Nucleic Acids Res ; 39(Database issue): D456-64, 2011 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-20935055

RESUMO

Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. EMDataBank.org, a joint effort of the Protein Data Bank in Europe (PDBe), the Research Collaboratory for Structural Bioinformatics (RCSB) and the National Center for Macromolecular Imaging (NCMI), is a global 'one-stop shop' resource for deposition and retrieval of cryoEM maps, models and associated metadata. The resource unifies public access to the two major archives containing EM-based structural data: EM Data Bank (EMDB) and Protein Data Bank (PDB), and facilitates use of EM structural data of macromolecules and macromolecular complexes by the wider scientific community.


Assuntos
Microscopia Crioeletrônica , Bases de Dados Factuais , Substâncias Macromoleculares/química , Proteínas/química , Bases de Dados de Proteínas , Substâncias Macromoleculares/ultraestrutura , Modelos Moleculares , Proteínas/ultraestrutura
20.
J Mol Biol ; 435(14): 167994, 2023 07 15.
Artigo em Inglês | MEDLINE | ID: mdl-36738985

RESUMO

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) provides open access to experimentally-determined three-dimensional (3D) structures of biomolecules. The RCSB PDB RCSB.org research-focused web portal is used annually by many millions of users around the world. They access biostructure information, run complex queries utilizing various search services (e.g., full-text, structural and chemical attribute, chemical, sequence, and structure similarity searches), and visualize macromolecules in 3D, all at no charge and with no limitations on data usage. Notwithstanding more than 24,000-fold growth of the PDB over the past five decades, experimentally-determined structures are only available for a small subset of the millions of proteins of known sequence. Recently developed machine learning software tools can predict 3D structures of proteins at accuracies comparable to lower-resolution experimental methods. The RCSB PDB now provides access to ∼1,000,000 Computed Structure Models (CSMs) of proteins coming from AlphaFold DB and the ModelArchive alongside ∼200,000 experimentally-determined PDB structures. Both CSMs and PDB structures are available on RCSB.org and via well-established RCSB PDB Data, Search, and 1D-Coordinates application programming interfaces (APIs). Simultaneous delivery of PDB data and CSMs provides users with access to complementary structural information across the human proteome and those of model organisms and selected pathogens. API enhancements are backwards-compatible and programmatic users can "opt in" to access CSMs with minimal effort. Herein, we describe modifications to RCSB PDB cyberinfrastructure required to support sixfold scaling of 3D biostructure data delivery and lay the groundwork for scaling to accommodate hundreds of millions of CSMs.


Assuntos
Biologia Computacional , Bases de Dados de Proteínas , Humanos , Biologia Computacional/métodos , Conformação Proteica , Proteoma , Software
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