| Literature DB >> 28836357 |
Elizabeth Jurrus1, Dave Engel1, Keith Star1, Kyle Monson1, Juan Brandi1, Lisa E Felberg2, David H Brookes2, Leighton Wilson3, Jiahui Chen4, Karina Liles1, Minju Chun1, Peter Li1, David W Gohara5, Todd Dolinsky6, Robert Konecny7, David R Koes8, Jens Erik Nielsen9, Teresa Head-Gordon2, Weihua Geng4, Robert Krasny3, Guo-Wei Wei10, Michael J Holst7, J Andrew McCammon7, Nathan A Baker1,11.
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.Entities:
Keywords: electrostatics; pKa; software; solvation; titration
Mesh:
Year: 2017 PMID: 28836357 PMCID: PMC5734301 DOI: 10.1002/pro.3280
Source DB: PubMed Journal: Protein Sci ISSN: 0961-8368 Impact factor: 6.725