Advances and Challenges in Milestoning Simulations for Drug–Target Kinetics
Molecular dynamics simulations have become indispensable for exploring complex
biological processes, yet their limitations in capturing rare events hinder our understanding …
biological processes, yet their limitations in capturing rare events hinder our understanding …
Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
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 …
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 …
gas, have become an important natural gas resource. In the modern petroleum engineering …
Grappa–a machine learned molecular mechanics force field
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
translation, and reflection in the E (3) group, the behavior of the biomolecular system should …