Cargando…

New Algorithms for Macromolecular Simulation

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Leimkuhler, Benedict (Editor ), Chipot, Christophe (Editor ), Elber, Ron (Editor ), Laaksonen, Aatto (Editor ), Mark, Alan (Editor ), Schlick, Tamar (Editor ), Schütte, Christoph (Editor ), Skeel, Robert (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Computational Science and Engineering, 49
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-31618-3
003 DE-He213
005 20220120172546.0
007 cr nn 008mamaa
008 100301s2006 gw | s |||| 0|eng d
020 |a 9783540316183  |9 978-3-540-31618-3 
024 7 |a 10.1007/3-540-31618-3  |2 doi 
050 4 |a QA76.9.C65 
072 7 |a UYM  |2 bicssc 
072 7 |a COM072000  |2 bisacsh 
072 7 |a UYM  |2 thema 
082 0 4 |a 003.3  |2 23 
245 1 0 |a New Algorithms for Macromolecular Simulation  |h [electronic resource] /  |c edited by Benedict Leimkuhler, Christophe Chipot, Ron Elber, Aatto Laaksonen, Alan Mark, Tamar Schlick, Christoph Schütte, Robert Skeel. 
250 |a 1st ed. 2006. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2006. 
300 |a XVI, 367 p. 85 illus., 8 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Computational Science and Engineering,  |x 2197-7100 ;  |v 49 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer simulation. 
650 0 |a Biomathematics. 
650 0 |a Mathematical physics. 
650 0 |a Biomedical engineering. 
650 1 4 |a Computer Modelling. 
650 2 4 |a Mathematical and Computational Biology. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
650 2 4 |a Biomedical Engineering and Bioengineering. 
700 1 |a Leimkuhler, Benedict.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Chipot, Christophe.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Elber, Ron.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Laaksonen, Aatto.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Mark, Alan.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Schlick, Tamar.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Schütte, Christoph.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Skeel, Robert.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783540809807 
776 0 8 |i Printed edition:  |z 9783540255420 
830 0 |a Lecture Notes in Computational Science and Engineering,  |x 2197-7100 ;  |v 49 
856 4 0 |u https://doi.uam.elogim.com/10.1007/3-540-31618-3  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)