The Generalized Born (GB) model offers a convenient way of representing electrostatics in complex macromolecules like proteins or nucleic acids. The computation of atomic GB radii is currently performed by different non-local approaches involving volume or surface integrals. Here we obtain a non-linearsecond-order partial differential equation for the Generalized Born radius, which may be solved using to the reaction field obeys Laplace\u2019s equation. The equation admits as particular solutions the correct GB local iterative algorithms. The equation is derived under the assumption that the usual GB approximation radii for the sphere and the plane. The tests performed on a set of 55 different proteins show an overall agreement with other r...
Generalized Born (GB) models play an important role in biomolecular dynamics simulations. The issue ...
The Generalized Born (GB) implicit solvent model has undergone significant improvements in accuracy ...
The need for accurate yet efficient representation of the aqueous environment in biomolecular modeli...
Here we report a method to calculate Born radii, an important parameter used in a Generalized Born m...
MOTIVATION: Implicit solvent models play an important role in describing the thermodynamics and the ...
The Poisson-Boltzmann (PB) equation is widely used for modeling electrostatic effects and solvation ...
The Poisson-Boltzmann (PB) equation and its linear approximation have been widely used to describe b...
Implicit solvent models are one of the standard tools in computational biophysics. While Poisson–Bol...
Here we report a set of new parameters for the generalized Born (GB) model consistent with the RESP ...
Here we report a set of new parameters for the generalized Born (GB) model consistent with the RESP ...
Abstract Motivation Implicit solvent models play...
The Generalized Born Surface Area theory (GBSA) has become a popular method to model the solvation o...
The generalized Born (GB) model is one of the fastest implicit solvent models, and it has become wid...
We have developed a treecode-based O(Nlog N) algorithm for the generalized Born (GB) implicit solvat...
Generalized Born methods are currently among the solvation models most commonly used for biological ...
Generalized Born (GB) models play an important role in biomolecular dynamics simulations. The issue ...
The Generalized Born (GB) implicit solvent model has undergone significant improvements in accuracy ...
The need for accurate yet efficient representation of the aqueous environment in biomolecular modeli...
Here we report a method to calculate Born radii, an important parameter used in a Generalized Born m...
MOTIVATION: Implicit solvent models play an important role in describing the thermodynamics and the ...
The Poisson-Boltzmann (PB) equation is widely used for modeling electrostatic effects and solvation ...
The Poisson-Boltzmann (PB) equation and its linear approximation have been widely used to describe b...
Implicit solvent models are one of the standard tools in computational biophysics. While Poisson–Bol...
Here we report a set of new parameters for the generalized Born (GB) model consistent with the RESP ...
Here we report a set of new parameters for the generalized Born (GB) model consistent with the RESP ...
Abstract Motivation Implicit solvent models play...
The Generalized Born Surface Area theory (GBSA) has become a popular method to model the solvation o...
The generalized Born (GB) model is one of the fastest implicit solvent models, and it has become wid...
We have developed a treecode-based O(Nlog N) algorithm for the generalized Born (GB) implicit solvat...
Generalized Born methods are currently among the solvation models most commonly used for biological ...
Generalized Born (GB) models play an important role in biomolecular dynamics simulations. The issue ...
The Generalized Born (GB) implicit solvent model has undergone significant improvements in accuracy ...
The need for accurate yet efficient representation of the aqueous environment in biomolecular modeli...