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Jeffrey M Lotthammer

Showing results (1-10 of 15) with videos related to

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Journal of Chemical Information and Modeling|March 5, 2025
Disentangling Folding from Energetic Traps in Simulations of Disordered ProteinsJeffrey M Lotthammer, Alex S Holehouse
Plos Computational Biology|August 5, 2024
Rhythmidia: A modern tool for circadian period analysis of filamentous fungiAlex T Keeley, Jeffrey M Lotthammer, Jacqueline F Pelham
Nature|February 18, 2026
Accurate predictions of disordered protein ensembles with STARLINGBorna Novak, Jeffrey M Lotthammer, Ryan J Emenecker, et al.
Nature Methods|January 31, 2024
Direct prediction of intrinsically disordered protein conformational properties from sequenceJeffrey M Lotthammer, Garrett M Ginell, Daniel Griffith, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2024
Direct prediction of intermolecular interactions driven by disordered regionsGarrett M Ginell, Ryan J Emenecker, Jeffrey M Lotthammer, et al.
Nature Communications|March 1, 2023
Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural networkArtur Meller, Michael Ward, Jonathan Borowsky, et al.
Biorxiv : the Preprint Server for Biology|September 4, 2024
High-throughput affinity measurements of direct interactions between activation domains and co-activatorsNicole DelRosso, Peter H Suzuki, Daniel Griffith, et al.
Science (New York, N.Y.)|May 22, 2025
Sequence-based prediction of intermolecular interactions driven by disordered regionsGarrett M Ginell, Ryan J Emenecker, Jeffrey M Lotthammer, et al.
Elife|January 27, 2023
Drug specificity and affinity are encoded in the probability of cryptic pocket opening in myosin motor domainsArtur Meller, Jeffrey M Lotthammer, Louis G Smith, et al.
Biorxiv : the Preprint Server for Biology|July 18, 2023
Divergent Molecular Phenotypes in Point Mutations at the Same Residue in Beta-Myosin Heavy Chain Lead to Distinct CardiomyopathiesSarah J Lehman, Artur Meller, Shahlo O Solieva, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|March 5, 2025
Disentangling Folding from Energetic Traps in Simulations of Disordered ProteinsJeffrey M Lotthammer, Alex S Holehouse
Plos Computational Biology|August 5, 2024
Rhythmidia: A modern tool for circadian period analysis of filamentous fungiAlex T Keeley, Jeffrey M Lotthammer, Jacqueline F Pelham
Nature|February 18, 2026
Accurate predictions of disordered protein ensembles with STARLINGBorna Novak, Jeffrey M Lotthammer, Ryan J Emenecker, et al.
Nature Methods|January 31, 2024
Direct prediction of intrinsically disordered protein conformational properties from sequenceJeffrey M Lotthammer, Garrett M Ginell, Daniel Griffith, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2024
Direct prediction of intermolecular interactions driven by disordered regionsGarrett M Ginell, Ryan J Emenecker, Jeffrey M Lotthammer, et al.
Nature Communications|March 1, 2023
Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural networkArtur Meller, Michael Ward, Jonathan Borowsky, et al.
Biorxiv : the Preprint Server for Biology|September 4, 2024
High-throughput affinity measurements of direct interactions between activation domains and co-activatorsNicole DelRosso, Peter H Suzuki, Daniel Griffith, et al.
Science (New York, N.Y.)|May 22, 2025
Sequence-based prediction of intermolecular interactions driven by disordered regionsGarrett M Ginell, Ryan J Emenecker, Jeffrey M Lotthammer, et al.
Elife|January 27, 2023
Drug specificity and affinity are encoded in the probability of cryptic pocket opening in myosin motor domainsArtur Meller, Jeffrey M Lotthammer, Louis G Smith, et al.
Biorxiv : the Preprint Server for Biology|July 18, 2023
Divergent Molecular Phenotypes in Point Mutations at the Same Residue in Beta-Myosin Heavy Chain Lead to Distinct CardiomyopathiesSarah J Lehman, Artur Meller, Shahlo O Solieva, et al.
Pageof 2