Author

J. Kleinhenz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Babiker· 1 shared A. M. Watkins· 1 shared A. Piantadosi· 1 shared B. Panganiban· 1 shared B. Vani· 1 shared C. Norwood· 1 shared D. Davidson· 1 shared D. N. Gomes· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperImmunology

A. Babiker

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Author profile →

2 papers

Recent·Most cited

Rapid generation of antibody conformational ensembles using machine learning

Pranav V Rao, D. Sommer, D. Davidson, R. G. Alberstein, J. Ludwiczak, J. Kleinhenz, B. Vani, E. Park, J. H. Lee, S. Izadi, J. R. Kiefer, R. Bonneau, S. P. Mahajan, A. M. Watkins, F. A. Dreyer

This paper introduces Cadense, a machine learning framework that generates antibody conformational ensembles from sequence, capturing dynamic properties and improving docking accuracy.

bioRxiv · Nov 9, 2026 · PreprintBioinformatics

Reduced binding and neutralization of infection- and vaccine-induced antibodies to the B.1.351 (South African) SARS-CoV-2 variant

V. V. Edara, C. Norwood, K. Floyd, L. Lai, M. E. Davis-Gardner, W. H. Hudson, G. Mantus, L. E. Nyhoff, M. W. Adelman, R. Fineman, S. Patel, R. Byram, D. N. Gomes, G. Michael, H. Abdullahi, , M. S. Suthar

The paper compares antibody binding and neutralization against SARS-CoV-2 B.1 and B.1.351 variants in infected and vaccinated individuals, finding reduced titers but retained neutralization.

bioRxiv · Feb 20, 2021 · PreprintImmunology