Binding energy of peptide-RNA complex with PyGBe and APBS
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This file bundle includes data, figures and plotting scripts of solvation energy and binding energy calculations for peptide-RNA complex using PyGBe and APBS. Errors were calculated with respect to the corresponding extrapolated values (obtained from Richardson extrapolation).
This result is part of the paper:
—"A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers", Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba. Comput. Phys. Comm., 185(3):720–729 (March 2014). 10.1016/j.cpc.2013.10.028 // Preprint arXiv:1309.4018
PyGBe solves biomolecular electrostatics problems using an implicit-solvent model (Poisson-Boltzmann) and it uses GPU hardware for fast execution. It is written in Python, PyCUDA and CUDA.
More information about the PyGBe code in:
—Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods. Christopher Cooper, Lorena A. Barba. figshare.
This research is made possible by support from the Office of Naval Research, Applied Computational Analysis Program, N00014-11-1-0356. LAB also acknowledges support from NSF CAREER award OCI-1149784.