Bimodal Peptide Collision Cross Section Distributions Reflect Two Stable Conformations in the Gas Phase
Repsitory containing the trained models and the code for the paper mentioned on the title.
Download the concatenated MaxQuant output file evidence-03122024.csv
from here and place it under anew folder /data
. In the same repository you can find the aligned train and test sets, i.e., the files evidence_aligned_trainv2660.csv
and evidence_test_fromRawFiles_2pop_v2660.csv
. Place them as well under /data
if you dont want to do the alignment following K0_alignment.ipynb
.
Because we are integrating results from different MaxQuant runs we need to allign them. This is done in the notebook K0_alignment.ipynb
.
- The figures of the section
Bi-modality of peptide collision cross section distribution
are in the notebooksection_1.ipynb
- The development and plots for the geometric scattering fit are in the notebook
fit_geometric_scaterring.ipynb
- The development and plots for the geometric fit are in the notebook
fit_geometric.ipynb
- The development and plots for the empirical fit are in the notebook
fit_empirical.ipynb
- The Machine Learning Regressor is trained in the notebook
training-prediction.ipynb
- The MaxDIA analysis is in the notebook
maxdia.ipynb