Improvements to the <scp>APBS</scp> biomolecular solvation software suite

Elizabeth Jurrus(Pacific Northwest National Laboratory), Dave Engel(Pacific Northwest National Laboratory), Keith T. Star(Pacific Northwest National Laboratory), Kyle Monson(Pacific Northwest National Laboratory), Juan Brandi(Pacific Northwest National Laboratory), Lisa E. Felberg(University of California, Berkeley), David H. Brookes(University of California, Berkeley), Leighton Wilson(University of Michigan), Jiahui Chen(Southern Methodist University), Karina R. Liles(Pacific Northwest National Laboratory), Minju Chun(Pacific Northwest National Laboratory), Peter Li(Pacific Northwest National Laboratory), David W. Gohara(Saint Louis University), T. J. Dolinsky, Robert Konečný(University of California San Diego), David Ryan Koes(University of Pittsburgh), Jens Erik Nielsen(Novozymes (Denmark)), Teresa Head‐Gordon(University of California, Berkeley), Weihua Geng(Southern Methodist University), Robert Krasny(University of Michigan), Guo‐Wei Wei(Michigan State University), Michael Holst(University of California San Diego), J. Andrew McCammon(University of California San Diego), Nathan Baker(Pacific Northwest National Laboratory)
Protein Science
August 24, 2017
Cited by 2,472Open Access
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Abstract

Abstract The Adaptive Poisson–Boltzmann Solver (APBS) software was developed to solve the equations of continuum electrostatics for large biomolecular assemblages that have provided impact in the study of a broad range of chemical, biological, and biomedical applications. APBS addresses the three key technology challenges for understanding solvation and electrostatics in biomedical applications: accurate and efficient models for biomolecular solvation and electrostatics, robust and scalable software for applying those theories to biomolecular systems, and mechanisms for sharing and analyzing biomolecular electrostatics data in the scientific community. To address new research applications and advancing computational capabilities, we have continually updated APBS and its suite of accompanying software since its release in 2001. In this article, we discuss the models and capabilities that have recently been implemented within the APBS software package including a Poisson–Boltzmann analytical and a semi‐analytical solver, an optimized boundary element solver, a geometry‐based geometric flow solvation model, a graph theory‐based algorithm for determining p K a values, and an improved web‐based visualization tool for viewing electrostatics.


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