Advances and Challenges in Milestoning Simulations for Drug–Target Kinetics

AA Ojha, LW Votapka, RE Amaro - Journal of Chemical Theory …, 2024 - ACS Publications
Molecular dynamics simulations have become indispensable for exploring complex
biological processes, yet their limitations in capturing rare events hinder our understanding …

Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields

PK Behara, H Jang, JT Horton, T Gokey… - The Journal of …, 2024 - ACS Publications
A wide range of density functional methods and basis sets are available to derive the
electronic structure and properties of molecules. Quantum mechanical calculations are too …

Perspectives on Molecular Simulation of CO2/CH4 Competitive Adsorption in a Shale Matrix: A Review

Y Sun, Y Ma, B Yu, W Zhang, L Zhang, P Chen… - Energy & …, 2024 - ACS Publications
With the increasing global energy demand, unconventional oil and gas, especially shale
gas, have become an important natural gas resource. In the modern petroleum engineering …

Grappa–a machine learned molecular mechanics force field

L Seute, E Hartmann, J Stühmer, F Gräter - Chemical Science, 2025 - pubs.rsc.org
Simulating large molecular systems over long timescales requires force fields that are both
accurate and efficient. In recent years, E (3) equivariant neural networks have lifted the …

Reversible molecular simulation for training classical and machine learning force fields

JG Greener - arxiv preprint arxiv:2412.04374, 2024 - arxiv.org
The next generation of force fields for molecular dynamics will be developed using a wealth
of data. Training systematically with experimental data remains a challenge, however …

[HTML][HTML] Validating Structural Predictions of Conjugated Macromolecules in Espaloma-Enabled Reproducible Workflows

ME Paul, CD Jones, E Jankowski - International Journal of Molecular …, 2025 - mdpi.com
We incorporated Espaloma forcefield parameterization into MoSDeF tools for performing
molecular dynamics simulations of organic molecules with HOOMD-Blue. We compared …

[HTML][HTML] Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective

Y Xu, H Ni, F Zhao, Q Gao, Z Zhao, CH Chang, Y Huo… - AIP Advances, 2025 - pubs.aip.org
Computational molecular design—the endeavor to design molecules, with various missions,
aided by machine learning and molecular dynamics approaches—has been widely applied …

Fine-tuning molecular mechanics force fields to experimental free energy measurements

D Rufa, J Fass, JD Chodera - bioRxiv, 2025 - biorxiv.org
Alchemical free energy methods using molecular mechanics (MM) force fields are essential
tools for predicting thermodynamic properties of small molecules, especially via free energy …

End-To-End Learning of Classical Interatomic Potentials for Benchmarking Anion Polarization Effects in Lithium Polymer Electrolytes

PA Leon, A Singhal, J Ruza, J Johnson, Y Shao-Horn… - 2024 - chemrxiv.org
Solid polymer electrolytes are an exciting solution for safe and stable solid lithium electrode
battery systems but are hindered by low ionic conductivity and low lithium transference. All …

[PDF][PDF] Research Statement: First-principle graph equivariant machine learning for drug discovery

Y Wang - osf.io
Symmetry plays a vital role in structure-based drug discovery—regardless of rotation,
translation, and reflection in the E (3) group, the behavior of the biomolecular system should …