Computational Electrostatics for Biological Applications
Latest Publications

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Published By Springer International Publishing

9783319122106, 9783319122113

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

The Accuracy of Generalized Born Forces

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_7 ◽

2014 ◽

pp. 143-155

Author(s):

Federico Fogolari ◽

Alessandra Corazza ◽

Gennaro Esposito

Keyword(s):

Generalized Born

Classical Density Functional Theory of Ionic Solutions

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_2 ◽

2014 ◽

pp. 17-38 ◽

Cited By ~ 1

Author(s):

Jan Forsman ◽

Clifford E. Woodward ◽

Ryan Szparaga

Keyword(s):

Density Functional Theory ◽

Density Functional ◽

Functional Theory ◽

Ionic Solutions

The Representation of Electrostatics for Biological Molecules

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_11 ◽

2014 ◽

pp. 215-225 ◽

Cited By ~ 1

Author(s):

Monica Zoppè ◽

Tiziana Loni

Keyword(s):

Biological Molecules

Electrostatics Models for Biology

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_1 ◽

2014 ◽

pp. 1-16

Author(s):

Ivan Sazanavets ◽

Andrew Cawley ◽

Jim Warwicker

Evaluation of Protein Electrostatic Potential from Molecular Dynamics Simulations in the Presence of Exogenous Electric Fields: The Case Study of Myoglobin

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_13 ◽

2014 ◽

pp. 255-270

Author(s):

P. Marracino ◽

M. Casciola ◽

M. Liberti ◽

F. Apollonio

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulations ◽

Electric Fields ◽

Electrostatic Potential ◽

Dynamics Simulations

Boundary-Integral and Boundary-Element Methods for Biomolecular Electrostatics: Progress, Challenges, and Important Lessons from CEBA 2013

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_6 ◽

2014 ◽

pp. 121-141

Author(s):

Jaydeep P. Bardhan

Keyword(s):

Boundary Element ◽

Boundary Integral ◽

Boundary Element Methods

Modeling Protein–Ligand Interaction with Finite Absorbing Markov Chain

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_15 ◽

2014 ◽

pp. 297-306

Author(s):

Marcin Pacholczyk ◽

Damian Borys ◽

Marek Kimmel

Keyword(s):

Markov Chain ◽

Ligand Interaction ◽

Absorbing Markov Chain ◽

Protein Ligand Interaction

Efficient and Stable Method to Solve Poisson–Boltzmann Equation with Steep Gradients

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_5 ◽

2014 ◽

pp. 111-119

Author(s):

Beibei Huang ◽

Vladimir A. Baulin

Keyword(s):

Boltzmann Equation ◽

Stable Method ◽

Poisson Boltzmann ◽

Poisson Boltzmann Equation

Self-Inclusion Complexes of Monofunctionalized Beta-Cyclodextrins as Host–Guest Interaction Model Systems and Simple and Sensitive Testbeds for Implicit Solvation Methods

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_14 ◽

2014 ◽

pp. 271-296

Author(s):

Rosa Maria Vitale ◽

Pietro Amodeo

Keyword(s):

Inclusion Complexes ◽

Interaction Model ◽

Model Systems ◽

Implicit Solvation

Triangulating Gaussian-Like Surfaces of Molecules with Millions of Atoms

Computational Electrostatics for Biological Applications ◽

10.1007/978-3-319-12211-3_9 ◽

2014 ◽

pp. 177-198

Author(s):

Sérgio E. D. Dias ◽

Abel J. P. Gomes

Computational Electrostatics for Biological ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

The Accuracy of Generalized Born Forces

Classical Density Functional Theory of Ionic Solutions

The Representation of Electrostatics for Biological Molecules

Electrostatics Models for Biology

Evaluation of Protein Electrostatic Potential from Molecular Dynamics Simulations in the Presence of Exogenous Electric Fields: The Case Study of Myoglobin

Boundary-Integral and Boundary-Element Methods for Biomolecular Electrostatics: Progress, Challenges, and Important Lessons from CEBA 2013

Modeling Protein–Ligand Interaction with Finite Absorbing Markov Chain

Efficient and Stable Method to Solve Poisson–Boltzmann Equation with Steep Gradients

Self-Inclusion Complexes of Monofunctionalized Beta-Cyclodextrins as Host–Guest Interaction Model Systems and Simple and Sensitive Testbeds for Implicit Solvation Methods

Triangulating Gaussian-Like Surfaces of Molecules with Millions of Atoms

Computational Electrostatics for Biological Applications
Latest Publications