activity
20132026
most citedBest Practices for Alchemical Free Energy Calculations

289 citations · 549 across the 10 of their papers we have counts for

collaborators

11 papers

q-bio.BM2026

LiveCoMS Roundtable: Discussing Markov state models after two decades of development v1.0

Daniel M. Zuckerman, Gregory R. Bowman, Amedeo Caflisch +14

Markov state models (MSMs) play a central role in the analysis of molecular dynamics (MD) simulations for biomolecules, and MSM methodologies have been under continual development…

q-bio.BM2026

Protein Dynamics Beyond Structure Prediction

Juliette Griffié, Sviatlana Shashkova, Antonio Ciarlo +41

The ability to predict protein three-dimensional structures from amino acid sequences is a landmark achievement in molecular biology, where recent deep learning approaches such as…

cs.LG2024

Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions

Christian Nauck, Rohan Gorantla, Michael Lindner +3

The geometry of a graph is encoded in dynamical processes on the graph. Many graph neural network (GNN) architectures are inspired by such dynamical systems, typically based on the…

q-bio.BM2023★ 36 cited

SILVR: Guided Diffusion for Molecule Generation

Nicholas T. Runcie, Antonia S. J. S. Mey

Computationally generating novel synthetically accessible compounds with high affinity and low toxicity is a great challenge in drug design. Machine-learning models beyond conventi…

physics.bio-ph2022★ 1 cited

What geometrically constrained folding models can tell us about real-world protein contact maps

Nora Molkenthin, J. J. Güven, Steffen Mühle +1

The mechanisms by which a protein's 3D structure can be determined based on its amino acid sequence have long been one of the key mysteries of biophysics. Often simplistic models,…

q-bio.BM2021★ 86 cited

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

David F. Hahn, Christopher I. Bayly, Hannah E. Bruce Macdonald +8

Free energy calculations are rapidly becoming indispensable in structure-enabled drug discovery programs. As new methods, force fields, and implementations are developed, assessing…

q-bio.BM2020★ 289 cited

Best Practices for Alchemical Free Energy Calculations

Antonia S. J. S. Mey, Bryce Allen, Hannah E. Bruce Macdonald +11

Alchemical free energy calculations are a useful tool for predicting free energy differences associated with the transfer of molecules from one environment to another. The hallmark…

q-bio.BM2018★ 3 cited

Geometric constraints in protein folding

Nora Molkenthin, Steffen Mühle, Antonia S J S Mey +1

The intricate three-dimensional geometries of protein tertiary structures underlie protein function and emerge through a folding process from one-dimensional chains of amino acids.…

physics.data-an2014★ 79 cited

Statistically optimal analysis of state-discretized trajectory data from multiple thermodynamic states

Hao Wu, Antonia S. J. S. Mey, Edina Rosta +1

We propose a discrete transition-based reweighting analysis method (dTRAM) for analyzing configuration-space-discretized simulation trajectories produced at different thermodynamic…

physics.comp-ph2014★ 28 cited

xTRAM: Estimating equilibrium expectations from time-correlated simulation data at multiple thermodynamic states

Antonia S. J. S. Mey, Hao Wu, Frank Noé

Computing the equilibrium properties of complex systems, such as free energy differences, is often hampered by rare events in the dynamics. Enhanced sampling methods may be used in…

cond-mat.soft2013★ 27 cited

Rare-event trajectory ensemble analysis reveals metastable dynamical phases in lattice proteins

Antonia S. J. S. Mey, Phillip L. Geissler, Juan P. Garrahan

We explore the dynamical large-deviations of a lattice heteropolymer model of a protein by means of path sampling of trajectories. We uncover the existence of non-equilibrium dynam…