Krawczyk, Konrad

SAbDab: the structural antibody database

Dunbar, J., Krawczyk, K., Leem, J., Baker, T., Fuchs, A., Georges, G., Shi, J., & Deane, C. M. (2014) · Nucleic Acids Research

Monoclonal and Polyclonal Antibodies ResearchEnzyme Structure and Function

Cited by 674

Five computational developability guidelines for therapeutic antibody profiling

Raybould, M. I. J., Marks, C., Krawczyk, K., Taddese, B., Nowak, J., Lewis, A. P., Bujotzek, A., Shi, J., & Deane, C. M. (2019) · Proceedings of the National Academy of Sciences

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 357

Observed antibody space: a resource for data mining next-generation sequencing of antibody repertoires

Kovaltsuk, A., Leem, J., Kelm, S., Snowden, J., Deane, C. M., & Krawczyk, K. (2018) · The Journal of Immunology

Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology

Cited by 247

Computational approaches to therapeutic antibody design: established methods and emerging trends

Norman, R. A., Ambrosetti, F., Bonvin, A. M. J. J., Colwell, L. J., Kelm, S., Kumar, S., & Krawczyk, K. (2020) · Briefings in Bioinformatics

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 219

Improving B-cell epitope prediction and its application to global antibody–antigen docking

Krawczyk, K., Liu, X., Baker, T., Shi, J., & Deane, C. M. (2014) · Bioinformatics

vaccines and immunoinformatics approachesProtein Structure and Dynamics

Cited by 174

Antibody i-Patch prediction of the antibody binding site improves rigid local antibody–antigen docking

Krawczyk, K., Baker, T., Shi, J., & Deane, C. M. (2013) · Protein Engineering Design and Selection

Protein Structure and Dynamicsvaccines and immunoinformatics approaches

Cited by 87

Structurally mapping antibody repertoires

Krawczyk, K., Kelm, S., Kovaltsuk, A., Galson, J. D., Kelly, D., Trück, J., Regep, C., Leem, J., Wong, W. K., Nowak, J., et al. (2018) · Frontiers in Immunology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 42

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Lê Quý, K., Snapkow, I., Rawat, P., Krawczyk, K., et al. (2024) · Communications Biology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Quý, K. L., Snapkov, I., Rawat, P., Krawczyk, K., et al. (2023) · Communications Biology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32

Looking for therapeutic antibodies in next generation sequencing repositories

Krawczyk, K., Raybould, M., Kovaltsuk, A., & Deane, C. M. (2019) · mAbs

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 29

Computational tools for aiding rational antibody design

Krawczyk, K., Dunbar, J., & Deane, C. M. (2017) · Methods in molecular biology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 26

AbDiver-a tool to explore the natural antibody landscape to aid therapeutic design

Młokosiewicz, J., Deszyński, P., Wilman, W., Jaszczyszyn, I., Ganesan, R., Kovaltsuk, A., Leem, J., Galson, J. D., & Krawczyk, K. (2022) · Bioinformatics

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 19

SciRide Finder: a citation-based paradigm in biomedical literature search

Volanakis, A., & Krawczyk, K. (2018) · Scientific Reports

scientometrics and bibliometrics researchInformation Retrieval and Search Behavior

Cited by 19

Structural pre-training improves physical accuracy of antibody structure prediction using deep learning.

Kończak, J., Janusz, B., Młokosiewicz, J., Satława, T., Wróbel, S., Dudzic, P., & Krawczyk, K. (2023) · ImmunoInformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 5

Structural pre-training improves physical accuracy of antibody structure prediction using deep learning

Kończak, J., Janusz, B., Młokosiewicz, J., Satława, T., Wróbel, S., Dudzic, P., & Krawczyk, K. (2022) · ImmunoInformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 5

NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody–antigen interactions

Chomicz, D., Dudzic, P., Wrobel, S., Gawlowski, T., Demharter, S., Spreafico, R., Minoux, H., Phillips, A., & Krawczyk, K. (2026) · mAbs

vaccines and immunoinformatics approachesMonoclonal and Polyclonal Antibodies Research

Cited by 4

NAStructuralDB : Structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody-antigen interactions

Chomicz, D., Dudzic, P., Wrobel, S., Gawłowski, T., Demharter, S., Spreafico, R., Minoux, H., Phillips, A., & Krawczyk, K. (2025) · mAbs

vaccines and immunoinformatics approachesMonoclonal and Polyclonal Antibodies Research

Cited by 4