| RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology … SK Burley, C Bhikadiya, C Bi, S Bittrich, L Chen, GV Crichlow, CH Christie, ... Nucleic acids research 49 (D1), D437-D451, 2021 | 1217 | 2021 |
| RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy SK Burley, HM Berman, C Bhikadiya, C Bi, L Chen, L Di Costanzo, ... Nucleic acids research 47 (D1), D464-D474, 2019 | 1079 | 2019 |
| Protein Data Bank: the single global archive for 3D macromolecular structure data Nucleic acids research 47 (D1), D520-D528, 2019 | 692 | 2019 |
| Intermediate filament structure: the bottom-up approach AA Chernyatina, D Guzenko, SV Strelkov Current opinion in cell biology 32, 65-72, 2015 | 122 | 2015 |
| The deubiquitylase USP33 discriminates between RALB functions in autophagy and innate immune response M Simicek, S Lievens, M Laga, D Guzenko, VN Aushev, P Kalev, ... Nature cell biology 15 (10), 1220-1230, 2013 | 102 | 2013 |
| Real time structural search of the Protein Data Bank D Guzenko, SK Burley, JM Duarte PLoS computational biology 16 (7), e1007970, 2020 | 48 | 2020 |
| BioJava 5: A community driven open-source bioinformatics library A Lafita, S Bliven, A Prlić, D Guzenko, PW Rose, A Bradley, P Pavan, ... PLoS computational biology 15 (2), e1006791, 2019 | 46 | 2019 |
| Crystallographic studies of intermediate filament proteins D Guzenko, AA Chernyatina, SV Strelkov Fibrous Proteins: Structures and Mechanisms, 151-170, 2017 | 45 | 2017 |
| Assessment of protein assembly prediction in CASP13 D Guzenko, A Lafita, B Monastyrskyy, A Kryshtafovych, JM Duarte Proteins: Structure, Function, and Bioinformatics 87 (12), 1190-1199, 2019 | 38 | 2019 |
| powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology … SK Burley, C Bhikadiya, C Bi, S Bittrich, L Chen, GV Crichlow, CH Christie, ... Nucleic Acids Res 49, D437-D451, 2021 | 36 | 2021 |
| Lateral A11 type tetramerization in lamins AV Lilina, AA Chernyatina, D Guzenko, SV Strelkov Journal of Structural Biology 209 (1), 107404, 2020 | 35 | 2020 |
| CCFold: Rapid And Accurate Prediction Of Coiled-Coil Structures And Application To Modelling Intermediate Filaments D Guzenko, SV Strelkov Bioinformatics, btx551, 2017 | 34 | 2017 |
| Small angle X‐ray scattering‐assisted protein structure prediction in CASP13 and emergence of solution structure differences GL Hura, CD Hodge, D Rosenberg, D Guzenko, JM Duarte, ... Proteins: Structure, Function, and Bioinformatics 87 (12), 1298-1314, 2019 | 31 | 2019 |
| How to study intermediate filaments in atomic detail AA Chernyatina, JF Hess, D Guzenko, JC Voss, SV Strelkov Methods in enzymology 568, 3-33, 2016 | 16 | 2016 |
| Optimal data-driven parameterization of coiled coils D Guzenko, SV Strelkov Journal of Structural Biology 204 (1), 125-129, 2018 | 3 | 2018 |
| Granular clustering of de novo protein models D Guzenko, SV Strelkov Bioinformatics 33 (3), 390-396, 2017 | 2 | 2017 |
| RCSB PDB Next-generation Data Delivery and Search Services C Zardecki, J Duarte, C Bi, C Bhikadiya, S Bittrich, L Chen, D Guzenko, ... ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES 76, A70-A70, 2020 | | 2020 |
| Z-score to evaluate the absolute quality of macromolecular models based on SAXS data D Guzenko, SV Strelkov bioRxiv, 349704, 2018 | | 2018 |
| Bioinformatics tools to study intermediate filament structure D Guzenko KU Leuven, 2017 | | 2017 |
| Constrained Modelling of an Intermediate Filament Dimer D Guzenko, SV Strelkov | | |
Jose M DuarteRCSB PDB, UC San Diego在 rcsb.org 的电子邮件经过验证
