Automated Workflow for Diagnosing Sampling Issues in Molecular Simulations

17.2 MB of data accompanies a method for diagnosing sampling issues in protein-ligand binding free energy calculations. The dataset, authored by Meghan Osato and last updated in May 2026, likely contains analysis results from molecular dynamics simulations. It focuses on post-simulation analysis of torsional rotations in ligands and binding site residues to flag potential sampling problems.

Use Cases

• Diagnose slow convergence in free energy calculations based on analysis of dihedral angle state transitions.
• Identify insufficient sampling of rotatable bonds in ligands based on the described torsion analysis method.
• Validate the reliability of binding free energy estimates based on the assessment of specific structural degrees of freedom.
• Benchmark new molecular dynamics simulation protocols against flagged sampling issues.

Strengths

• The 17.2 MB dataset is focused on a specific, well-described computational problem in drug discovery.
• The method is automated and designed to detect issues that may otherwise go unnoticed, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data's specific source simulations and time range are not provided.

Provenance

Source

figshare

Collection Method

Post-simulation analysis of molecular dynamics trajectories for binding free energy calculations.

Freshness

Last updated 2026-05-05 11:36:17; freshness should be verified.