New Algorithms for Macromolecular Simulation (eBook, PDF)

Redaktion: Leimkuhler, Benedict; Skeel, Robert; Schütte, Christoph; Schlick, Tamar; Mark, Alan; Laaksonen, Aatto; Elber, Ron; Chipot, Christophe

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 367
• Erscheinungstermin: 22. März 2006
• Englisch
• ISBN-13: 9783540316183
• Artikelnr.: 37366208

Autorenporträt

Benedict Leimkuhler, University of Leicester, United Kingdom / Christophe Chipot, Université Henri Poincaré, Vandoeuvre-lès-Nancy, France / Ron Elber, Cornell University, Ithaca, NY, USA / Aatto Laaksonen, Stockholm University, Sweden / Alan Mark, University of Groningen, The Netherlands / Tamar Schlick, New York University, NY, USA / Christoph Schütte, Freie Universität Berlin, Germany / Robert Skeel, Purdue University, West Lafayette, IN, USA

Inhaltsangabe

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.