0000000000490280

AUTHOR

Martin Blackledge

showing 2 related works from this author

PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins

2020

Abstract The Protein Ensemble Database (PED) (https://proteinensemble.org), which holds structural ensembles of intrinsically disordered proteins (IDPs), has been significantly updated and upgraded since its last release in 2016. The new version, PED 4.0, has been completely redesigned and reimplemented with cutting-edge technology and now holds about six times more data (162 versus 24 entries and 242 versus 60 structural ensembles) and a broader representation of state of the art ensemble generation methods than the previous version. The database has a completely renewed graphical interface with an interactive feature viewer for region-based annotations, and provides a series of descriptor…

MESH: Databases ProteinMESH: Search EngineAcademicSubjects/SCI00010[SDV.BBM.BS] Life Sciences [q-bio]/Biochemistry Molecular Biology/Structural Biology [q-bio.BM][SDV]Life Sciences [q-bio]media_common.quotation_subjectBiologycomputer.software_genreIntrinsically disordered proteins03 medical and health sciencesDatabases0302 clinical medicineInformation and Computing SciencesGeneticsFeature (machine learning)Database IssueHumansDatabases ProteinRepresentation (mathematics)Function (engineering)MESH: Tumor Suppressor Protein p53ComputingMilieux_MISCELLANEOUS030304 developmental biologymedia_commonGraphical user interfaceStructure (mathematical logic)MESH: Intrinsically Disordered Proteins0303 health sciencesMESH: HumansDatabase[SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry Molecular Biology/Structural Biology [q-bio.BM]business.industryProteinBiological Sciences[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]MetadataSearch EngineIntrinsically Disordered ProteinsState (computer science)Generic health relevanceTumor Suppressor Protein p53businesscomputer030217 neurology & neurosurgeryEnvironmental SciencesDevelopmental Biology
researchProduct

Large-Scale Recombinant Production of the SARS-CoV-2 Proteome for High-Throughput and Structural Biology Applications

2021

The highly infectious disease COVID-19 caused by the Betacoronavirus SARS-CoV-2 poses a severe threat to humanity and demands the redirection of scientific efforts and criteria to organized research projects. The international COVID19-NMR consortium seeks to provide such new approaches by gathering scientific expertise worldwide. In particular, making available viral proteins and RNAs will pave the way to understanding the SARS-CoV-2 molecular components in detail. The research in COVID19-NMR and the resources provided through the consortium are fully disclosed to accelerate access and exploitation. NMR investigations of the viral molecular components are designated to provide the essential…

Life sciences; biologySARS-COV-2; COVID-19; protein production; structural biology NMR[SDV.BIO]Life Sciences [q-bio]/BiotechnologyBiochemistry Genetics and Molecular Biology (miscellaneous)BiochemistryAccessory proteinsNMR spectroscopyddc:570[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Molecular Biosciencesddc:610Nonstructural proteinsMolecular BiologyOriginal Research[SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry Molecular Biology/Structural Biology [q-bio.BM]SARS-CoV-2Intrinsically disordered regionnonstructural proteinsCOVID-19structural proteinsCell-free protein synthesisintrinsically disordered regioncell-free protein synthesisaccessory proteins[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologyStructural proteins
researchProduct