Automated Workflow for Diagnosing Sampling Issues in Molecular Simulations

An automated workflow analyzes torsional motions in protein and ligand residues to diagnose sampling issues in binding free energy calculations. The method flags potential problems based on low transitions between dihedral angle states, which can impact calculated free energy values. The dataset, authored by Meghan Osato and hosted on figshare, was last updated in May 2026.

Use Cases

• Diagnosing sampling convergence issues based on analysis of torsional rotations
• Improving reliability of free energy estimates by identifying slow conformational changes
• Post-simulation analysis of molecular dynamics trajectories to flag insufficient sampling

Strengths

• The dataset includes an automated method specifically designed for post-simulation analysis of torsional motions.
• The workflow focuses on structural degrees of freedom in the ligand and residues near the binding site.
• The dataset is 85.0 MB, which suggests a manageable size for download and analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data is licensed under CC-BY-NC-4.0, restricting commercial use.

Provenance

Source

figshare

Collection Method

Likely contains results from an automated analysis workflow applied to molecular simulation data.

Freshness

Last updated 2026-05-05 11:36:20; freshness should be verified.