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Version 0.7.0

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@wehs7661 wehs7661 released this 02 Aug 22:23
· 365 commits to master since this release
a4bae8d

Several major changes have been made since the last release of version 0.6.0. Below we list all changes that would influence the way ensemble_md is used, in the order of decreasing importance.

  • Deployed the package to PyPI: https://pypi.org/project/ensemble-md/0.7.0/
  • ensemble_md has been enabled to work with MPI-enabled GROMACS.
  • Enabled coordinate modification/relative free energy calculations in the EEXE framework
    • See the project page to find the corresponding issues and PRs relevant to the work.
    • Added the YAML parameter modify_coords for specifying the external module for coordinate manipulation.
    • Added a predefined contract for the external module modify_coords
    • Enabled specifying different GRO and TOP input files.
    • Enabled specifying different MDP parameters for different replicas by adding the YAML parameter mdp_args.
    • Added the YAML parameter add_swappables to enable relative free energy calculations using EEXE.
  • Better parameter handling
    • Added restrictions for specifying nstlog and nstdhdl in the input MDP template
    • Added get_ref_dist to the class EnsembleEXE and modified update_MDP to fix the reference distance(s) for all iterations when distance restraint(s) are used. This solved the issue of poor sampling for the CB7-10 test system.
  • Enabled inverse variance weighting in weight combination
  • Added new functionalities to analyze_traj.py, including plot_g_vecs, get_swaps, plot_swaps, and stitch_trajs_for_sim
  • Modified functionalities
    • Converted identify_swappable_pairs into a static method
    • Modified explore_EEXE to allow estimating the chance of not having any swappable pairs
  • Removed map_lambda2state and the attributes lambda_dict and lambda_ranges
  • Fixed the bug so that executions on all ranks are terminated whenever is a GROMACS error in any child process
  • Several minor bug fixes in several functions, including get_averaged_weights, reformat_MDP, parse_log, and autoconvert
  • Updated the documentation

In the next release, we will focus more on refining functionalities for data analysis.