GOMC datasets

GOMC Monte Carlo simulation datasets.

The alchemlyb.gomc module features datasets generated using the GPU Optimized Monte Carlo (GOMC) simulation engine. They can be accessed using the following accessor functions:

load_benzene()

Load the GOMC benzene dataset.

Simple TI and FEP

The data sets contain derivatives of the Hamiltonian (TI) and free energy perturbation (FEP) data suitable for processing with FEP estimators as well as BAR/MBAR. Individual \(\lambda\) windows were run independently.

GOMC: Benzene in water

Hydration free energy of benzene using the TraPPE-EH [Raj2007] model and the SPC water model.

Notes

Data Set Characteristics:
Number of Legs

2 (Coulomb, VDW)

Number of Windows

7 for Coulomb, 15 for VDW

Length of Windows

50 million Monte Carlo steps

System Size

1001 molecules

Temperature

298 K

Pressure

1 bar

Alchemical Pathway

vacuum –> vdw –> vdw + coul

Experimental Hydration Free Energy

-0.90 ± 0.2 kcal/mol

Missing Values

None

Energy unit

kJ/mol

Time unit

Monte Carlo steps

Creator

M. Soroush Barhaghi

Donor

Mohammad Soroush Barhaghi (m.soroush@wayne.edu)

Date

July 2019

License

CC0 Public Domain Dedication

This dataset was generated using GOMC Monte Carlo simulation engine.

Experimental value sourced from [Mobley2013b].

Mobley2013b

Mobley, David L. (2013). Experimental and Calculated Small Molecule Hydration Free Energies. UC Irvine: Department of Pharmaceutical Sciences, UCI. Retrieved from: https://escholarship.org/uc/item/6sd403pz

Raj2007

Neeraj Rai and J. Ilja Siepmann (2007). The Journal of Physical Chemistry B, 111 (36), 10790-10799 DOI: 10.1021/jp073586l

alchemtest.gomc.load_benzene()

Load the GOMC benzene dataset.

Returns

data – Dictionary-like object, the interesting attributes are:

  • ’data’ : the data files by alchemical leg

  • ’DESCR’: the full description of the dataset

Return type

Bunch