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Protein Science | Vol.27, Issue.1 | | Pages 128-112

Protein Science

Improvements to the APBS biomolecular solvation software suite

Keith Star   Teresa Head-Gordon   Leighton Wilson   J. Andrew McCammon   David H. Brookes   Guo-Wei Wei   Robert Konecny   Weihua Geng   Michael J. Holst   David R. Koes   Jens Erik Nielsen   Kyle Monson   Todd Dolinsky   Minju Chun   Peter Li   Juan Brandi   David W. Gohara   Elizabeth Jurrus   Karina Liles   Robert Krasny   Dave Engel   Nathan A. Baker   Lisa E. Felberg   Jiahui Chen  
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 pKa values, and an improved web-based visualization tool for viewing electrostatics.

Original Text (This is the original text for your reference.)

Improvements to the APBS biomolecular solvation software suite

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 pKa values, and an improved web-based visualization tool for viewing electrostatics.

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Keith Star, Teresa Head-Gordon, Leighton Wilson, J. Andrew McCammon, David H. Brookes, Guo-Wei Wei, Robert Konecny, Weihua Geng, Michael J. Holst, David R. Koes, Jens Erik Nielsen, Kyle Monson, Todd Dolinsky, Minju Chun, Peter Li, Juan Brandi, David W. Gohara,Elizabeth Jurrus, Karina Liles, Robert Krasny, Dave Engel, Nathan A. Baker, Lisa E. Felberg, Jiahui Chen,.Improvements to the APBS biomolecular solvation software suite. 27 (1),128-112.

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