Author

D. Sommer

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

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

A. M. Watkins· 1 shared B. Vani· 1 shared D. Davidson· 1 shared E. Park· 1 shared F. A. Dreyer· 1 shared J. H. Lee· 1 shared J. Kleinhenz· 1 shared J. Ludwiczak· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

A. M. Watkins

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1 paper

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