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Refactor RMSD analyses into MDAnalysis AnaysisBase classes#90

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hannahbaumann wants to merge 1 commit intomainfrom
rmsd_refactor_analysisbase
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Refactor RMSD analyses into MDAnalysis AnaysisBase classes#90
hannahbaumann wants to merge 1 commit intomainfrom
rmsd_refactor_analysisbase

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@hannahbaumann
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@hannahbaumann hannahbaumann commented Feb 20, 2026

Refactor the rmsd analysis using this example: https://docs.mdanalysis.org/2.7.0/documentation_pages/analysis/base.html

  • Longer term we may not want to have the gather_rms_data function but access the individual analysis classes directly in the openfe Protocol
  • Should the make_Universe function go into utils?

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codecov bot commented Feb 20, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.44%. Comparing base (5260e3b) to head (2977c01).
⚠️ Report is 11 commits behind head on main.

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@@            Coverage Diff             @@
##             main      #90      +/-   ##
==========================================
+ Coverage   88.16%   96.44%   +8.28%     
==========================================
  Files           7        6       -1     
  Lines         338      366      +28     
==========================================
+ Hits          298      353      +55     
+ Misses         40       13      -27     

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@hannahbaumann
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@talagayev and @jthorton : This is a first go at the refactor into the individual RMSD classes, based on the MDAnalysis AnalysisBase. Please let me know what you think!

@hannahbaumann hannahbaumann changed the title Refactor RMSD analyses into MDAnalysis AnaysisBase classes Refactor RMSD analyses into MDAnalysis AnaysisBase classes Feb 20, 2026
Comment on lines +177 to +203
class LigandRMSD(AnalysisBase):
"""
1D RMSD time series for a ligand AtomGroup.
"""

def __init__(self, atomgroup, **kwargs):
super(LigandRMSD, self).__init__(atomgroup.universe.trajectory, **kwargs)

self._ag = atomgroup

def _prepare(self):
self.results.rmsd = []
self._reference = self._ag.positions
self._weights = self._ag.masses / np.mean(self._ag.masses)

def _single_frame(self):
rmsd = rms.rmsd(
self._ag.positions,
self._reference,
self._weights,
center=False,
superposition=False,
)
self.results.rmsd.append(rmsd)

def _conclude(self):
self.results.rmsd = np.asarray(self.results.rmsd)

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2 initial thoughts:

  • Can we make a more general RMSD class that can be reused for protein and ligand analysis, basically it should work on any atom group and does this not already exist in MDAnalysis?
  • Do we not want to switch to use the symmetry RMSD (spyrmsd I think its called)?

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