Grid convergence of PyGBe with protein G B1 D4'
2016-01-29T14:00:31Z (GMT) by
<p>Reproducibility package containing data, running script, plotting script and final plot of a grid-convergence study on protein G B1 D4' near a charged surface. </p><p>The running script invokes the (open-source) bioelectrostatics solver PyGBe with the given input data, computes the extrapolated value of solvation plus surface energy (with Richardson extrapolation), and plots the final result of convergence.</p> <p>This result is part of the following publication:</p> <p>—<strong>"Poisson–Boltzmann model for protein-surface electrostatic interactions and grid-convergence study using the PyGBe code,"</strong> Christopher D. Cooper and Lorena A. Barba, Comput. Phys. Comm. (2016) doi:10.1016/j.cpc.2015.12.019</p> <p>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.</p> <p>More information about the PyGBe code in:</p> <p><em>—"Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods,"</em> Christopher Cooper, Lorena A. Barba. figshare.<br>http://dx.doi.org/10.6084/m9.figshare.154331</p> <p>—"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</p> <p><strong>Acknowledgement:</strong><br>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.</p> <p> </p>