New Algorithms for Macromolecular Simulation
Leimkuhler, Benedict.
New Algorithms for Macromolecular Simulation [electronic resource] / edited by Benedict Leimkuhler, Christophe Chipot, Ron Elber, Aatto Laaksonen, Alan Mark, Tamar Schlick, Christoph Schütte, Robert Skeel. - XVI, 367 p. 85 illus., 8 illus. in color. online resource. - Lecture Notes in Computational Science and Engineering, 49 1439-7358 ; . - Lecture Notes in Computational Science and Engineering, 49 .
Macromolecular Models: From Theories to Effective Algorithms -- Membrane Protein Simulations: Modelling a Complex Environment -- Modeling and Simulation Based Approaches for Investigating Allosteric Regulation in Enzymes -- Exploring the Connection Between Synthetic and Natural RNAs in Genomes: A Novel Computational Approach -- Learning to Align Sequences: A Maximum-Margin Approach -- Minimization of Complex Molecular Landscapes -- Overcoming Energetic and Time Scale Barriers Using the Potential Energy Surface -- The Protein Folding Problem -- Dynamical and Stochastic-Dynamical Foundations for Macromolecular Modelling -- Biomolecular Sampling: Algorithms, Test Molecules, and Metrics -- Approach to Thermal Equilibrium in Biomolecular Simulation -- The Targeted Shadowing Hybrid Monte Carlo (TSHMC) Method -- The Langevin Equation for Generalized Coordinates -- Metastability and Dominant Eigenvalues of Transfer Operators -- Computation of the Free Energy -- Free Energy Calculations in Biological Systems. How Useful Are They in Practice? -- Numerical Methods for Calculating the Potential of Mean Force -- Replica-Exchange-Based Free-Energy Methods -- Fast Electrostatics and Enhanced Solvation Models -- Implicit Solvent Electrostatics in Biomolecular Simulation -- New Distributed Multipole Metdhods for Accurate Electrostatics in Large-Scale Biomolecular Simulations -- Quantum-Chemical Models for Macromolecular Simulation -- Towards Fast and Reliable Quantum Chemical Modelling of Macromolecules -- Quantum Chemistry Simulations of Glycopeptide Antibiotics -- Panel Discussion.
Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.
9783540316183
10.1007/3-540-31618-3 doi
Computer science.
Computer simulation.
Biology--Mathematics.
Mathematical physics.
Biomedical engineering.
Computer Science.
Simulation and Modeling.
Mathematical Biology in General.
Mathematical and Computational Physics.
Biomedical Engineering.
QA76.9.C65
003.3
New Algorithms for Macromolecular Simulation [electronic resource] / edited by Benedict Leimkuhler, Christophe Chipot, Ron Elber, Aatto Laaksonen, Alan Mark, Tamar Schlick, Christoph Schütte, Robert Skeel. - XVI, 367 p. 85 illus., 8 illus. in color. online resource. - Lecture Notes in Computational Science and Engineering, 49 1439-7358 ; . - Lecture Notes in Computational Science and Engineering, 49 .
Macromolecular Models: From Theories to Effective Algorithms -- Membrane Protein Simulations: Modelling a Complex Environment -- Modeling and Simulation Based Approaches for Investigating Allosteric Regulation in Enzymes -- Exploring the Connection Between Synthetic and Natural RNAs in Genomes: A Novel Computational Approach -- Learning to Align Sequences: A Maximum-Margin Approach -- Minimization of Complex Molecular Landscapes -- Overcoming Energetic and Time Scale Barriers Using the Potential Energy Surface -- The Protein Folding Problem -- Dynamical and Stochastic-Dynamical Foundations for Macromolecular Modelling -- Biomolecular Sampling: Algorithms, Test Molecules, and Metrics -- Approach to Thermal Equilibrium in Biomolecular Simulation -- The Targeted Shadowing Hybrid Monte Carlo (TSHMC) Method -- The Langevin Equation for Generalized Coordinates -- Metastability and Dominant Eigenvalues of Transfer Operators -- Computation of the Free Energy -- Free Energy Calculations in Biological Systems. How Useful Are They in Practice? -- Numerical Methods for Calculating the Potential of Mean Force -- Replica-Exchange-Based Free-Energy Methods -- Fast Electrostatics and Enhanced Solvation Models -- Implicit Solvent Electrostatics in Biomolecular Simulation -- New Distributed Multipole Metdhods for Accurate Electrostatics in Large-Scale Biomolecular Simulations -- Quantum-Chemical Models for Macromolecular Simulation -- Towards Fast and Reliable Quantum Chemical Modelling of Macromolecules -- Quantum Chemistry Simulations of Glycopeptide Antibiotics -- Panel Discussion.
Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.
9783540316183
10.1007/3-540-31618-3 doi
Computer science.
Computer simulation.
Biology--Mathematics.
Mathematical physics.
Biomedical engineering.
Computer Science.
Simulation and Modeling.
Mathematical Biology in General.
Mathematical and Computational Physics.
Biomedical Engineering.
QA76.9.C65
003.3