How one can use binary classifiers, variational auto-encoder, TICA, PCA, distance and dihedral order parameters as CVs in context of pepsin-like aspartic proteases e.g. BACE1 and plasmepsin-II.
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Updated
Feb 15, 2021 - Jupyter Notebook
How one can use binary classifiers, variational auto-encoder, TICA, PCA, distance and dihedral order parameters as CVs in context of pepsin-like aspartic proteases e.g. BACE1 and plasmepsin-II.
This repo provides all details to repertory and validate the paper Flap dynamics in pepsin-like aspartic proteases: a computational perspective using Plasmepsin-II and BACE-1 as model systems (doi: https://doi.org/10.1101/2020.04.27.062539)
Scripts used for MSM and post-dynamics analysis of PMV simulations
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