Published February 15, 2026 | Version v1.1.0
Software Open

FastMDAnalysis: Software for Automated Analysis of Molecular Dynamics Trajectories

  • 1. AAi Research Lab

Description

Highlights

  • Added Dihedral analysis with Ramachandran plots (including error bars and per-residue frame plots) and improved CLI support (e.g., --residues handling and aliases). (#16, #18, #19, #20)
  • Added Fraction of Native Contacts (Q-value) analysis module. (Q-Value module + test discovery update)
  • Improved MDS dimensionality reduction to robustly detect and adapt to scikit-learn API differences, avoiding deprecated parameters and handling multiple versions cleanly.

Analysis & plotting improvements

  • Enhanced time-series/statistical reporting with compute_stat summaries; refined plot bounds and visual defaults. (#21)
  • Improved clustering visualizations (layout/whitespace, dendrogram x-axis cleanup, label styling).
  • Added adaptive plotting helpers for slide-ready figures and expanded plotting regression coverage (including slide style helpers).

Reliability & compatibility

  • Major scikit-learn compatibility work for MDS: exhaustive parameter fallbacks, warning suppression, and version-robust behavior.
  • Filtered pyparsing deprecation warnings originating from MDTraj; fixed pytest warning filtering to avoid failures across pyparsing versions.
  • Increased test coverage across analyze helpers, plotting, options forwarding/passthrough, and specific analysis modules.

CLI & workflow

  • Fixed CLI -o/--output flag issue. (#7)
  • Added permissive options passthrough and test coverage for the options forwarder.

Documentation & metadata

  • Documentation updates for plotting and outputs.
  • Added CODE_OF_CONDUCT.md.
  • Updated Zenodo DOI metadata (pyproject.toml, CITATION, README).

Notes

If you use this software in your work, please cite:

Files

aai-research-lab/FastMDAnalysis-v1.1.0.zip

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Additional details

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