2011
DOI: 10.1063/1.3552945
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Treecode-based generalized Born method

Abstract: We have developed a treecode-based O(N log N ) algorithm for the generalized Born (GB) implicit solvation model. Our treecode-based GB (tGB) is based on the GBr6 [J. Phys. Chem. B 111, 3055 (2007)], an analytical GB method with a pairwise descreening approximation for the R6 volume integral expression. The algorithm is composed of a cutoff scheme for the effective Born radii calculation, and a treecode implementation of the GB charge-charge pair interactions. Test results demonstrate that the tGB algorithm ca… Show more

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Cited by 12 publications
(11 citation statements)
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“…A great variety of flavors and implementations of the GB are available, several of which implemented in molecular modeling packages such as AMBER, CHARMM, GROMACS, NAMD, OpenMM, or TINKER . The specific choice depends on specific needs: a protein folding simulation may call for one flavor of the GB model, while a study of a protein in a membrane environment will need quite another .…”
Section: Implicit Solvent Modelsmentioning
confidence: 99%
“…A great variety of flavors and implementations of the GB are available, several of which implemented in molecular modeling packages such as AMBER, CHARMM, GROMACS, NAMD, OpenMM, or TINKER . The specific choice depends on specific needs: a protein folding simulation may call for one flavor of the GB model, while a study of a protein in a membrane environment will need quite another .…”
Section: Implicit Solvent Modelsmentioning
confidence: 99%
“…These simple models include distance-dependent dielectric functions, analytic continuum methods (Schaefer & Karplus, 1996), the so-called Effective Energy Function (EEF) approach (Lazaridis & Karplus, 1999) and the improved ABSINTH model (Vitalis & Pappu, 2009) and generalized Born (GB) models. The GB model is one of the most popular models and was developed by Still et al in 1990 (Still et al , 1990) and subsequently revised by several others (Anandakrishnan et al , 2011; Bashford & Case, 2000; Brown & Case, 2006; Chen, 2010; Chen et al , 2006; Clark et al , 2009; Dominy & Brooks, 1999; Feig & Brooks, 2004; Feig et al , 2004, 2008; Gallicchio et al , 2002, 2009; Grant et al , 2007; Grycuk, 2003; Im et al , 2003b; Jorgensen et al , 2004; Labute, 2008; Lee et al , 2002; Onufriev et al , 2000, 2002; Osapay et al , 1996; Tjong & Zhou, 2007b; Tsui & Case, 2000; Xu et al , 2011; Zhu et al , 2005). The GB model describes the solvent as a continuum medium, similar to the PB model, but provides a faster calculation of solvation energies and forces.…”
Section: Modeling Solvation With Low Detail: Continuum Approximationsmentioning
confidence: 99%
“…1 C, right panel). In addition, the overall RMSF pattern for the implicit solvent simulation matches that for the explicit solvent trajectory, despite a minor difference in the dihydrouracil arm (nucleotides [8][9][10][11][12][13][14], in which the implicit solvent simulation exhibits slightly larger RMSF values (Fig. 1 C, right panel).…”
Section: Trna Simulationmentioning
confidence: 61%
“…Numerous different implicit solvent models have been applied extensively in simulations of proteins, with some success claimed for particular systems. One widely used approach is based on the generalized-Born model with an added surface area term (GBSA) (10)(11)(12)(13)(14)(15). However, this GBSA technique encounters serious difficulties in simulations for nucleic acids, especially RNAs (1), except for a few reported studies of small RNA duplexes and RNA tetra-loops (16)(17)(18)(19)(20)(21).…”
Section: Introductionmentioning
confidence: 99%