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

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 Assay:protein structure· 1

Frequent Co-Authors

M. L. Fernandez-Quintero· 2 shared C. Deane· 1 shared F. Waibl· 1 shared G. Georges· 1 shared H. Kettenberger· 1 shared K. Liedl· 1 shared K. R. Liedl· 1 shared N. D. Pomarici· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBiophysics

M. L. Fernandez-Quintero

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintJul 24, 2023

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

N. Pomarici, S. Mehdi, P. Quoika…·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.

DOI 10.1101/2023.07.24.550401

deep learningstatistical model

𝕏 PostBluesky

BiophysicsbioRxivPreprintJul 14, 2023

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

F. Waibl, N. D. Pomarici, V. J. Hoerschinger…·K. R. Liedl

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

DOI 10.1101/2023.07.14.547811

protein structuredeep learning

𝕏 PostBluesky