Diagnostics for Slow Torsional Motions in Protein-Ligand Binding Simulations

An automated workflow for diagnosing sampling issues in molecular dynamics simulations used for protein-ligand binding free energy calculations. The method analyzes dihedral angle states of torsions in ligands and nearby protein residues to flag low transition counts. The dataset was created by Meghan Osato and last updated on 2026-05-05.

Use Cases

• Diagnosing convergence issues in binding free energy estimates based on analysis of torsional sampling.
• Identifying slow torsional rotations in protein side chains or ligands that impact simulation accuracy.
• Post-simulation analysis to flag potential sampling problems that may have gone unnoticed by standard convergence metrics.
• Improving the reliability of early-stage drug discovery workflows by ensuring adequate conformational sampling.

Strengths

• Method specifically targets slow torsional motions, a known challenge in molecular simulations.
• Workflow is automated for post-simulation analysis, as described in the title and abstract.
• Dataset size is 225.4 MB, indicating a medium-scale data artifact.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

The method analyzes torsions to define dihedral angle states and flags low transitions between states.

Freshness

Last updated 2026-05-05 11:36:26; freshness should be verified.