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PB-AM: An open-source, fully analytical linear poisson-boltzmann solver

Journal Article · · Journal of Computational Chemistry
DOI:https://doi.org/10.1002/jcc.24528· OSTI ID:1361960
 [1];  [2];  [3];  [4];  [5];  [6]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Chemical and Biomolecular Engineering
  2. Univ. of California, Berkeley, CA (United States). Dept. of Chemistry
  3. Albert Einstein College of Medicine, Bronx, NY (United States). Dept. of Systems and Computational Biology
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Division of Computational and Statistical Analytics; Univ. of Utah, Salt Lake City, UT (United States). Scientific Computing and Imaging (SCI) Inst.
  5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Advanced Computing, Mathematics, and Data Division; Brown Univ., Providence, RI (United States). Division of Applied Mathematics
  6. Univ. of California, Berkeley, CA (United States). Dept. of Chemical and Biomolecular Engineering and Dept. of Chemistry and Dept. of Bioengineering; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Chemical Sciences Division

We present the open source distributed software package Poisson-Boltzmann Analytical Method (PB-AM), a fully analytical solution to the linearized Poisson Boltzmann equation. The PB-AM software package includes the generation of outputs files appropriate for visualization using VMD, a Brownian dynamics scheme that uses periodic boundary conditions to simulate dynamics, the ability to specify docking criteria, and offers two different kinetics schemes to evaluate biomolecular association rate constants. Given that PB-AM defines mutual polarization completely and accurately, it can be refactored as a many-body expansion to explore 2- and 3-body polarization. Additionally, the software has been integrated into the Adaptive Poisson-Boltzmann Solver (APBS) software package to make it more accessible to a larger group of scientists, educators and students that are more familiar with the APBS framework.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Scientific User Facilities Division; National Science Foundation (NSF); National Inst. of Health (NIH); National Biomedical Computation Resource
DOE Contract Number:
AC05-76RL01830; AC02-05CH11231
OSTI ID:
1361960
Report Number(s):
PNNL-SA--120107; 453040220
Journal Information:
Journal of Computational Chemistry, Journal Name: Journal of Computational Chemistry Journal Issue: 15 Vol. 38; ISSN 0192-8651
Publisher:
Wiley
Country of Publication:
United States
Language:
English

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Cited By (5)

Improvements to the APBS biomolecular solvation software suite text January 2017
Improvements to the APBS biomolecular solvation software suite: Improvements to the APBS Software Suite journal October 2017
A Boundary‐Integral Approach for the Poisson–Boltzmann Equation with Polarizable Force Fields journal March 2019
The Poisson–Boltzmann model for implicit solvation of electrolyte solutions: Quantum chemical implementation and assessment via Sechenov coefficients journal December 2019
Water models for biomolecular simulations: Water models for biomolecular simulations journal November 2017

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