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TitleMolecular Modeling of Proteins [electronic resource]
Author edited by Andreas Kukol
ImprintNew York, NY : Springer New York : Imprint: Humana Press, 2015
Edition 2nd ed. 2015
Connect tohttp://dx.doi.org/10.1007/978-1-4939-1465-4
Descript X, 474 p. 104 illus., 53 illus. in color. online resource

SUMMARY

Molecular Modeling of Proteins, Second Edition provides a theoretical background of various methods available and enables non-specialists to apply methods to their problems by including updated chapters and new material not covered in the first edition. This detailed volume opens by featuring classical and advanced simulation methods as well as methods to set-up complex systems such as lipid membranes and membrane proteins, and continues with chapters devoted to the simulation and analysis of conformational changes of proteins, computational methods for protein structure prediction, usage of experimental data in combination with computational techniques, as well as protein-ligand interactions, which are relevant in the drug design process. Written for the highly successful Methods in Molecular Biology series, chapters include thorough introductions, step-by-step instructions, and notes on troubleshooting and avoiding common pitfalls. Update-to-date and authoritative, Molecular Modeling of Proteins, Second Edition aims to aid researchers in the physical, chemical, and biosciences interested in utilizing this powerful technology


CONTENT

Molecular Dynamics Simulations -- Transition Path Sampling with Quantum/Classical Mechanics for Reaction Rates -- Current Status of Protein Force Fields for Molecular Dynamics Simulations -- Lipid Membranes for Membrane Proteins -- Molecular Dynamics Simulations of Membrane Proteins -- Membrane-Associated Proteins and Peptides -- Coarse-Grained Force Fields for Molecular Simulations -- Tackling Sampling Challenges in Biomolecular Simulations -- Calculation of Binding Free Energies -- The Use of Experimental Structures to Model Protein Dynamics -- Computing Ensembles of Transitions with Molecular Dynamics Simulations -- Accelerated Molecular Dynamics and Protein Conformational Change: A Theoretical and Practical Guide Using a Membrane Embedded Model Neurotransmitter Transporter -- Simulations and Experiments in Protein Folding -- Comparative Modeling of Proteins -- De Novo Membrane Protein Structure Prediction -- NMR-Based Modeling and Refinement of Protein 3D Structures -- Methods for Predicting Protein Ligand Binding Sites -- Information-Driven Structural Modelling of Protein-Protein Interactions -- Identifying Putative Drug Targets and Potential Drug Leads: Starting Points for Virtual Screening and Docking -- Molecular Docking to Flexible Targets


Life sciences Proteins Bioinformatics Computational biology Life Sciences Protein Science Computer Appl. in Life Sciences Protein Structure



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