Konrad Krawczyk
Konrad Krawczyk
Assistant Professor in Computational Precision Medicine -, Founder at NaturalAntibody
Verified email at - Homepage
Cited by
Cited by
SAbDab: the structural antibody database
J Dunbar, K Krawczyk, J Leem, T Baker, A Fuchs, G Georges, J Shi, ...
Nucleic acids research 42 (D1), D1140-D1146, 2014
Five computational developability guidelines for therapeutic antibody profiling
MIJ Raybould, C Marks, K Krawczyk, B Taddese, J Nowak, AP Lewis, ...
Proceedings of the National Academy of Sciences 116 (10), 4025-4030, 2019
SAbPred: a structure-based antibody prediction server
J Dunbar, K Krawczyk, J Leem, C Marks, J Nowak, C Regep, G Georges, ...
Nucleic acids research 44 (W1), W474-W478, 2016
Observed antibody space: a resource for data mining next-generation sequencing of antibody repertoires
A Kovaltsuk, J Leem, S Kelm, J Snowden, CM Deane, K Krawczyk
The Journal of Immunology 201 (8), 2502-2509, 2018
Improving B-cell epitope prediction and its application to global antibody-antigen docking
K Krawczyk, X Liu, T Baker, J Shi, CM Deane
Bioinformatics 30 (16), 2288-2294, 2014
Computational approaches to therapeutic antibody design: established methods and emerging trends
RA Norman, F Ambrosetti, AMJJ Bonvin, LJ Colwell, S Kelm, S Kumar, ...
Briefings in bioinformatics 21 (5), 1549-1567, 2020
Progress and challenges in predicting protein interfaces
R Esmaielbeiki, K Krawczyk, B Knapp, JC Nebel, CM Deane
Briefings in bioinformatics 17 (1), 117-131, 2016
Antibody i-Patch prediction of the antibody binding site improves rigid local antibody–antigen docking
K Krawczyk, T Baker, J Shi, CM Deane
Protein Engineering, Design & Selection 26 (10), 621-629, 2013
Quantifying online news media coverage of the COVID-19 pandemic: Text mining study and resource
K Krawczyk, T Chelkowski, DJ Laydon, S Mishra, D Xifara, B Gibert, ...
Journal of medical Internet research 23 (6), e28253, 2021
STCRDab: the structural T-cell receptor database
J Leem, SHP de Oliveira, K Krawczyk, CM Deane
Nucleic acids research 46 (D1), D406-D412, 2018
How B-cell receptor repertoire sequencing can be enriched with structural antibody data
A Kovaltsuk, K Krawczyk, JD Galson, DF Kelly, CM Deane, J Trück
Frontiers in immunology 8, 1753, 2017
Structurally mapping antibody repertoires
K Krawczyk, S Kelm, A Kovaltsuk, JD Galson, D Kelly, J Trück, C Regep, ...
Frontiers in immunology 9, 1698, 2018
Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics
R Khetan, R Curtis, CM Deane, JT Hadsund, U Kar, K Krawczyk, ...
MAbs 14 (1), 2020082, 2022
Looking for therapeutic antibodies in next-generation sequencing repositories
K Krawczyk, MIJ Raybould, A Kovaltsuk, CM Deane
MAbs 11 (7), 1197-1205, 2019
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
W Wilman, S Wróbel, W Bielska, P Deszynski, P Dudzic, I Jaszczyszyn, ...
Briefings in Bioinformatics 23 (4), bbac267, 2022
Computational tools for aiding rational antibody design
K Krawczyk, J Dunbar, CM Deane
Computational protein design, 399-416, 2017
INDI—integrated nanobody database for immunoinformatics
P Deszyński, J Młokosiewicz, A Volanakis, I Jaszczyszyn, N Castellana, ...
Nucleic Acids Research 50 (D1), D1273-D1281, 2022
SciRide Finder: a citation-based paradigm in biomedical literature search
A Volanakis, K Krawczyk
Scientific reports 8 (1), 6193, 2018
Data mining patented antibody sequences
K Krawczyk, A Buchanan, P Marcatili
MAbs 13 (1), 1892366, 2021
AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design
J Młokosiewicz, P Deszyński, W Wilman, I Jaszczyszyn, R Ganesan, ...
Bioinformatics 38 (9), 2628-2630, 2022
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