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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Simulation data for "Optimal Rejection-Free Path Sampling". Trajectory files of the chignolin AIMMD run "tps2"

Authors: Lazzeri, Gianmarco;

Simulation data for "Optimal Rejection-Free Path Sampling". Trajectory files of the chignolin AIMMD run "tps2"

Abstract

This repository contains the trajectory files for the AIMMD run "tps2" of chignolin. It includes the two-way shooting paths and the free simulations around state A and state B. Due to size constraints, the data has been split into separate repositories. The trajectory files are not required for running the main analysis, as all necessary information for machine learning and path reweighting is contained in the "PatEnsemble" object files stored in the main repository. However, these trajectories are essential for projecting the path ensemble estimate onto an arbitrary set of collective variables. To reconstruct the full dataset, please merge the data folder from the main repository with the one you find here. Data structure and content data|- chignolin |- tps2 (the AIMMD run, with TPS for the shooting simulations) |- equilibriumA (the trajectory data for the free simulations around A) |- traj000001.part0000.xtc |- traj000001.part0001.xtc |- ... |- traj000002.part0000.xtc |- ... |- equilibriumB (the trajectory data for the free simulations around B) |- ... |- shots0 (the path sampling chain, with the paths in order) |- path000001.xtc |- path000002.xtc |- ...

Keywords

Artificial intelligence, Active learning, Protein folding, Molecular Dynamics Simulation, Statistical mechanics, Biochemistry, path sampling, rare events

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average