Protein orientation near charged surface using PyGBe with immunoglobulin G

2015-09-21T19:29:09Z (GMT) by Christopher D. Cooper Lorena A. Barba
<p>Reproducibility package containing data, running script and final plot of the protein-orientation study for immunoglobulin G near a charged surface. </p><p>The running script invokes the bioelectrostatics solver (PyGBe) with the given input data, computes the orientation probability distribution and plots the final result.</p> <p>The file set includes:</p> <p>—1 mesh, 2 bodies</p> <p>—PQR file</p> <p>—mesh-generation script for sensor surface</p> <p>—input parameters and running script for mesher</p> <p>—input file for PyGBe and running script</p> <p>—CSV file of output (tilt, rotation, energy)</p> <p>—Figure 11 of the paper and plotting script</p> <p>This result is part of the publication:</p><p>—<b>"Probing protein orientation near charged nanosurfaces for simulation-assisted biosensor design,"</b> Christopher D. Cooper, Natalia C. Clementi, Lorena A. Barba; <i>J. Chem. Phys.</i>, Vol. 143: 124709 (2015) </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.</p> <p></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> </p> <p><strong>Acknowledgement:</strong></p> <p>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>