Warning: This library is young. It is not API stable. It is a
nucleation point. By all means use and help improve it, but note that it will
change with time.
alchemlyb is an attempt to make alchemical free energy calculations easier
to do by leveraging the full power and flexibility of the PyData stack. It
Parsers for extracting raw data from output files of common molecular
dynamics engines such as GROMACS
[Abraham2015]. Subsamplers for obtaining uncorrelated samples from timeseries data.
Estimators for obtaining free energies directly from this data, using
best-practices approaches for multistate Bennett acceptance ratio (MBAR)
[Shirts2008] and thermodynamic integration (TI).
In particular, it uses internally the excellent
pymbar library for performing MBAR and extracting
independent, equilibrated samples [Chodera2016].
[Abraham2015] Abraham, M.J., Murtola, T., Schulz, R., Páll, S., Smith, J.C.,
Hess, B., and Lindahl, E. (2015). GROMACS: High performance molecular
simulations through multi-level parallelism from laptops to supercomputers.
SoftwareX 1–2, 19–25.
[Shirts2008] Shirts, M.R., and Chodera, J.D. (2008). Statistically optimal
analysis of samples from multiple equilibrium states. The Journal of Chemical
Physics 129, 124105.
[Chodera2016] Chodera, J.D. (2016). A Simple Method for Automated
Equilibration Detection in Molecular Simulations. Journal of Chemical Theory
and Computation 12, 1799–1805.
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Files for alchemlyb, version 0.3.1
Jan 16, 2020
Jan 16, 2020