PDBe and PDBe-KB: Providing high-quality, up-to-date and integrated resources of macromolecular structures to support basic and applied research and education
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
BB/R015201/1
Biotechnology and Biological Sciences Research Council - United Kingdom
223739/Z/21/Z
Wellcome Trust - United Kingdom
BB/V004247/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/V016113/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/S017135/1
Biotechnology and Biological Sciences Research Council - United Kingdom
221327/Z/20/Z
Wellcome Trust - United Kingdom
BB/T01959X/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/P025846/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/M011674/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/P024351/1
Biotechnology and Biological Sciences Research Council - United Kingdom
104948/Z/14/Z
Wellcome Trust - United Kingdom
218303/Z/19/Z
Wellcome Trust - United Kingdom
BB/W017970/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/V018779/1
Biotechnology and Biological Sciences Research Council - United Kingdom
BB/S020071/1
Biotechnology and Biological Sciences Research Council - United Kingdom
Wellcome Trust - United Kingdom
PubMed
36173162
PubMed Central
PMC9517934
DOI
10.1002/pro.4439
Knihovny.cz E-zdroje
- Klíčová slova
- bioinformatics, databases, protein data bank, structural biology,
- MeSH
- databáze proteinů MeSH
- konformace proteinů MeSH
- nukleové kyseliny * MeSH
- proteiny * chemie MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
- Názvy látek
- nukleové kyseliny * MeSH
- proteiny * MeSH
The archiving and dissemination of protein and nucleic acid structures as well as their structural, functional and biophysical annotations is an essential task that enables the broader scientific community to conduct impactful research in multiple fields of the life sciences. The Protein Data Bank in Europe (PDBe; pdbe.org) team develops and maintains several databases and web services to address this fundamental need. From data archiving as a member of the Worldwide PDB consortium (wwPDB; wwpdb.org), to the PDBe Knowledge Base (PDBe-KB; pdbekb.org), we provide data, data-access mechanisms, and visualizations that facilitate basic and applied research and education across the life sciences. Here, we provide an overview of the structural data and annotations that we integrate and make freely available. We describe the web services and data visualization tools we offer, and provide information on how to effectively use or even further develop them. Finally, we discuss the direction of our data services, and how we aim to tackle new challenges that arise from the recent, unprecedented advances in the field of structure determination and protein structure modeling.
CEITEC Central European Institute of Technology Masaryk University Brno Czech Republic
European Molecular Biology Laboratory European Bioinformatics Institute Hinxton
National Centre for Biomolecular Research Faculty of Science Masaryk University Brno Czech Republic
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wwPDB consortium , Burley SK, Berman HM, et al. Protein Data Bank: The single global archive for 3D macromolecular structure data. Nucleic Acids Res. 2019;47:D520–D528. PubMed PMC
Armstrong DR, Berrisford JM, Conroy MJ, et al. PDBe: Improved findability of macromolecular structure data in the PDB. Nucleic Acids Res. 2019;48(D1):D335–D343. PubMed PMC
Rose Y, Duarte JM, Lowe R, et al. RCSB Protein Data Bank: architectural advances towards integrated searching and efficient access to macromolecular structure data from the PDB archive. J Mol Biol. 2021;433:166704. PubMed PMC
Kinjo AR, Bekker G‐J, Suzuki H, et al. Protein Data Bank Japan (PDBj): Updated user interfaces, resource description framework, analysis tools for large structures. Nucleic Acids Res. 2017;45:D282–D288. PubMed PMC
Romero PR, Kobayashi N, Wedell JR, et al. BioMagResBank (BMRB) as a resource for structural biology. Methods Mol Biol. 2020;2112:187–218. PubMed PMC
Abbott S, Iudin A, Korir PK, Somasundharam S, Patwardhan A. EMDB web resources. Curr Protoc Bioinformatics. 2018;61:5.10.1–5.10.12. PubMed PMC
Burley SK, Berman HM, Christie C, et al. RCSB Protein Data Bank: Sustaining a living digital data resource that enables breakthroughs in scientific research and biomedical education. Protein Sci Publ Protein Soc. 2018;27:316–330. PubMed PMC
Jumper J, Evans R, Pritzel A, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596:583–589. PubMed PMC
Baek M, DiMaio F, Anishchenko I, et al. Accurate prediction of protein structures and interactions using a three‐track neural network. Science. 2021;373:871–876. PubMed PMC
Gerstein M. Integrative database analysis in structural genomics. Nat Struct Biol. 2000;7(Suppl):960–963. PubMed
PDBe‐KB consortium . PDBe‐KB: Collaboratively defining the biological context of structural data. Nucleic Acids Res. 2022;50:D534–D542. PubMed PMC
Mitsopoulos C, Di Micco P, Fernandez EV, et al. canSAR: Update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Res. 2021;49:D1074–D1082. PubMed PMC
Cilia E, Pancsa R, Tompa P, Lenaerts T, Vranken WF. The DynaMine webserver: Predicting protein dynamics from sequence. Nucleic Acids Res. 2014;42:W264–W270. PubMed PMC
Wass MN, Kelley LA, Sternberg MJE. 3DLigandSite: Predicting ligand‐binding sites using similar structures. Nucleic Acids Res. 2010;38:W469–W473. PubMed PMC
Pravda L, Sehnal D, Svobodová Vařeková R, et al. ChannelsDB: Database of biomacromolecular tunnels and pores. Nucleic Acids Res. 2018;46:D399–D405. PubMed PMC
Wilkinson MD, Dumontier M, Aalbersberg IJJ, et al. The FAIR guiding principles for scientific data management and stewardship. Sci Data. 2016;3:160018. PubMed PMC
Orengo C, Velankar S, Wodak S, et al. A community proposal to integrate structural bioinformatics activities in ELIXIR (3D‐Bioinfo Community). F1000Research. 2020;9:278. PubMed PMC
Nair S, Váradi M, Nadzirin N, et al. PDBe aggregated API: Programmatic access to an integrative knowledge graph of molecular structure data Gorodkin J, editor. Bioinformatics. 2021;37(21):3950–3952. PubMed PMC
PDBe‐KB consortium , Varadi M, Berrisford J, et al. PDBe‐KB: A community‐driven resource for structural and functional annotations. Nucleic Acids Res. 2020;48:D344–D353. PubMed PMC
Varadi M, Anyango S, Deshpande M, et al. AlphaFold protein structure database: Massively expanding the structural coverage of protein‐sequence space with high‐accuracy models. Nucleic Acids Res. 2022;50:D439–D444. PubMed PMC
Sehnal D, Bittrich S, Deshpande M, et al. Mol* Viewer: Modern web app for 3D visualization and analysis of large biomolecular structures. Nucleic Acids Res. 2021;49:W431–W437. PubMed PMC
Deshpande M, Varadi M, Paysan‐Lafosse T, et al. PDB ProtVista: A reusable and open‐source sequence feature viewer. BioRxiv. 2022.
Dana JM, Gutmanas A, Tyagi N, et al. SIFTS: Updated structure integration with function, taxonomy and sequences resource allows 40‐fold increase in coverage of structure‐based annotations for proteins. Nucleic Acids Res. 2019;47:D482–D489. PubMed PMC
Young JY, Westbrook JD, Feng Z, et al. (2017) OneDep: Unified wwPDB system for deposition, biocuration, and validation of macromolecular structures in the PDB archive. Struct Lond Engl. 1993;25:536–545. PubMed PMC
Khanna T, Hanna G, Sternberg MJE, David A. Missense3D‐DB web catalogue: An atom‐based analysis and repository of 4M human protein‐coding genetic variants. Hum Genet. 2021;140:805–812. PubMed PMC
Delgado J, Radusky LG, Cianferoni D, Serrano L. FoldX 5.0: Working with RNA, small molecules and a new graphical interface Valencia A, editor. Bioinformatics. 2019;35:4168–4169. PubMed PMC
Blum M, Chang H‐Y, Chuguransky S, et al. The InterPro protein families and domains database: 20 years on. Nucleic Acids Res. 2021;49:D344–D354. PubMed PMC
Sillitoe I, Dawson N, Lewis TE, et al. CATH: Expanding the horizons of structure‐based functional annotations for genome sequences. Nucleic Acids Res. 2019;47:D280–D284. PubMed PMC
Mistry J, Chuguransky S, Williams L, et al. Pfam: The protein families database in 2021. Nucleic Acids Res. 2021;49:D412–D419. PubMed PMC
Cunningham F, Allen JE, Allen J, et al. Ensembl 2022. Nucleic Acids Res. 2022;50:D988–D995. PubMed PMC
Andreeva A, Kulesha E, Gough J, Murzin AG. The SCOP database in 2020: Expanded classification of representative family and superfamily domains of known protein structures. Nucleic Acids Res. 2020;48:D376–D382. PubMed PMC
Feolo M, Helmberg W, Sherry S, Maglott DR. NCBI genetic resources supporting immunogenetic research. Rev Immunogenet. 2000;2:461–467. PubMed
UniProt Consortium . UniProt: The universal protein knowledgebase in 2021. Nucleic Acids Res. 2021;49:D480–D489. PubMed PMC
Stelzer G, Rosen N, Plaschkes I, et al. The GeneCards suite: From gene data mining to disease genome sequence analyses. Curr Protoc Bioinforma. 2016;54:1.30.1–1.30.33. PubMed
Laskowski RA, Jabłońska J, Pravda L, Vařeková RS, Thornton JM. PDBsum: Structural summaries of PDB entries. Protein Sci Publ Protein Soc. 2018;27:129–134. PubMed PMC
Sweeney BA, Hoksza D, Nawrocki EP, et al. R2DT is a framework for predicting and visualising RNA secondary structure using templates. Nat Commun. 2021;12:3494. PubMed PMC
Sarver M, Zirbel CL, Stombaugh J, Mokdad A, Leontis NB. FR3D: Finding local and composite recurrent structural motifs in RNA 3D structures. J Math Biol. 2008;56:215–252. PubMed PMC
Mukhopadhyay A, Borkakoti N, Pravda L, Tyzack JD, Thornton JM, Velankar S. Finding enzyme cofactors in Protein Data Bank Wren J, editor. Bioinformatics. 2019;35:3510–3511. PubMed PMC
Kleinjung J, Fraternali F. POPSCOMP: An automated interaction analysis of biomolecular complexes. Nucleic Acids Res. 2005;33:W342–W346. PubMed PMC
Tiwari SP, Fuglebakk E, Hollup SM, et al. WEBnm@ v2.0: Web server and services for comparing protein flexibility. BMC Bioinformatics. 2014;15(427):427. PubMed PMC
Fontana P, Dong Y, Pi X, et al. Structure of cytoplasmic ring of nuclear pore complex by integrative cryo‐EM and AlphaFold. Science. 2022;376:eabm9326. PubMed PMC
Mosalaganti S, Obarska‐Kosinska A, Siggel M, et al. AI‐based structure prediction empowers integrative structural analysis of human nuclear pores. Science. 2022;376:eabm9506. PubMed
Tian R, Li Y, Wang X, et al. A pharmacoinformatics analysis of artemisinin targets and de novo design of hits for treating ulcerative colitis. Front Pharmacol. 2022;13:843043. PubMed PMC
Binder JL, Berendzen J, Stevens AO, et al. AlphaFold illuminates half of the dark human proteins. Curr Opin Struct Biol. 2022;74:102372. PubMed PMC
Cai SW, Zinder JC, Svetlov V, et al. Cryo‐EM structure of the human CST‐Polα/primase complex in a recruitment state. Nat Struct Mol Biol. 2022;29(8):813–819. PubMed PMC
Collar AL, Linville AC, Core SB, Frietze KM. Epitope‐based vaccines against the chlamydia trachomatis major outer membrane protein variable domain 4 elicit protection in mice. Vaccine. 2022;10:875. PubMed PMC
Wehrspan ZJ, McDonnell RT, Elcock AH. Identification of iron‐sulfur (Fe‐S) cluster and zinc (Zn) binding sites within proteomes predicted by DeepMind's AlphaFold2 program dramatically expands the metalloproteome. J Mol Biol. 2022;434:167377. PubMed PMC
Bludau I, Willems S, Zeng W‐F, et al. The structural context of posttranslational modifications at a proteome‐wide scale. PLoS Biol. 2022;20:e3001636. PubMed PMC
Mesoscale explorer: Visual exploration of large-scale molecular models
Mesoscale Explorer - Visual Exploration of Large-Scale Molecular Models
Describing and Sharing Molecular Visualizations Using the MolViewSpec Toolkit
αCharges: partial atomic charges for AlphaFold structures in high quality