Published February 15, 2026
| Version v1.1.0
Software
Open
FastMDAnalysis: Software for Automated Analysis of Molecular Dynamics Trajectories
Description
Highlights
- Added Dihedral analysis with Ramachandran plots (including error bars and per-residue frame plots) and improved CLI support (e.g.,
--residueshandling 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_statsummaries; 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/--outputflag 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
Files
aai-research-lab/FastMDAnalysis-v1.1.0.zip
Files
(16.8 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/aai-research-lab/FastMDAnalysis/tree/v1.1.0 (URL)
Software
- Repository URL
- https://github.com/aai-research-lab/FastMDAnalysis