Grid convergence of PyGBe with a spherical molecule near spherical surface
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https://figshare.com/articles/dataset/Grid_convergence_of_PyGBe_with_a_spherical_molecule_near_spherical_surface/1348841/3
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This file bundle contains data, running script and final plot of grid-convergence study for a spherical molecule near a charged surface. The running script invokes the bioelectrostatics solver (PyGBe) with the given input data, computes the solvation plus surface energy and the error with respect to the analytical solution, and plots the final result of convergence. This result is part of an upcoming paper. Publication information will be updated at the time of publication with the final citation. The prreprint is: —<strong>"Probing protein orientation near charged surfaces with an implicit-solvent model and the PyGBe code,"</strong> Christopher D. Cooper, Lorena A. Barba; arXiv: 1503.08150 (submitted). 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: —<em>"Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods."</em> Christopher Cooper, Lorena A. Barba. figshare. http://dx.doi.org/10.6084/m9.figshare.154331 —"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. <em>Comput. Phys. Comm.</em>, <strong>185</strong>(3):720–729 (March 2014). 10.1016/j.cpc.2013.10.028 // Preprint arXiv:1309.4018 <strong>Acknowledgement:</strong> 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.
提供机构:
figshare
创建时间:
2016-01-19



