Author

J. R. Loeffler

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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Biophysics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:protein structure· 1

Frequent Co-Authors

M. L. Fernandez-Quintero· 3 shared A. B. Ward· 1 shared B. Greenhouse· 1 shared C. B. Bau· 1 shared C. Deane· 1 shared E. M. Bunnik· 1 shared E. Martinez-Scholze· 1 shared F. Waibl· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBiophysics

M. L. Fernandez-Quintero

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Broadly inhibitory antibodies against severe malaria virulence proteins

R. A. Reyes, S. S. R. Raghavan, N. K. Hurlburt, V. Introini, I. H. Kana, R. W. Jensen, E. Martinez-Scholze, M. Gestal-Mato, C. B. Bau, M. L. Fernandez-Quintero, J. R. Loeffler, J. A. Ferguson, W.-H. Lee, G. M. Martin, T. G. Theander, , T. Lavstsen

The paper identifies two human monoclonal antibodies that broadly inhibit PfEMP1's binding to EPCR, a key process in severe malaria pathogenesis.

bioRxiv · Jan 25, 2024Immunology

Learning high-dimensional reaction coordinates of fast-folding proteins using State Predictive Information Bottleneck and Bias Exchange Metadynamics

N. Pomarici, S. Mehdi, P. Quoika, S. Lee, J. R. Loeffler, K. Liedl, P. Tiwary, M. L. Fernandez-Quintero

This study uses AI and enhanced sampling to accelerate protein unfolding simulations by learning high-dimensional reaction coordinates from poor data.

bioRxiv · Jul 24, 2023 · PreprintBiophysics

PEP-Patch: Electrostatics in Protein-Protein Recognition, Specificity and Antibody Developability

F. Waibl, N. D. Pomarici, V. J. Hoerschinger, J. R. Loeffler, C. Deane, G. Georges, H. Kettenberger, M. L. Fernandez-Quintero, K. R. Liedl

PEP-Patch quantifies and visualizes protein electrostatic potential to analyze protease specificity, antibody-antigen recognition, and predict antibody pharmacokinetics.

bioRxiv · Jul 14, 2023 · PreprintBiophysics