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Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly, Vol 170

  • ID: 4844383
  • Book
  • 300 Pages
  • Elsevier Science and Technology
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Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly, Volume 170 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. The series includes in-depth knowledge on the molecular biological aspects of organismal physiology, with this release including chapters on Pairwise-Additive and Polarizable Atomistic Force Fields for Molecular Dynamics Simulations of Proteins, Scale-consistent approach to the derivation of coarse-grained force fields for simulating structure, dynamics, and thermodynamics of biopolymers, Enhanced sampling and free energy methods and much more.

  • Includes comprehensive coverage of molecular biology
  • Presents ample use of tables, diagrams, schemata and color figures to enhance the reader's ability to rapidly grasp the information provided
  • Contains contributions from renowned experts in the field
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1. Pairwise-Additive and Polarizable Atomistic Force Fields for Molecular Dynamics Simulations of Proteins Justin Lemkul 2. Scale-consistent approach to the derivation of coarse-grained force fields for simulating structure, dynamics, and thermodynamics of biopolymers Adam Liwo 3. Monte Carlo methods in protein folding and assembly Sandipan Mohanty 4. Enhanced sampling and free energy methods Qinghua Liao 5. Markov models of molecular simulations of protein folding, protein-protein interactions, and aggregation Nicolae-viorel Buchete 6. Molecular dynamics simulations with experimental restraints Kresten Lindorff-Larsen 7. Protein folding simulations Ivan Coluzza 8. Thermal stability of proteins Fabio Sterpone 9. Aggregation of short disease-related peptides Philippe Derreumaux 10. Dichotomy between universality and specificity of amyloid ß-protein oligomer formation: Molecular dynamics perspective Brigita Urbanc 11. Computational studies of protein aggregation mediated by amyloid: Fibril elongation and secondary nucleation Wei Han
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Teplow, David B.
Professor Teplow is a member of the Department of Neurology, David Geffen School of Medicine at UCLA; Director, UCLA Biopolymer Laboratory; and a member of the faculties of the Molecular Biology Institute, Brain Research Institute, Chemistry-Biology Interface Training Program, and various neuroscience graduate programs. Professor Teplow received degrees in Biochemistry, and in Bacteriology & Immunology, from UC Berkeley; a Ph.D. from the University of Washington, Seattle; and postdoctoral training at the California Institute of Technology, Pasadena, CA. From 1991-2005, Professor Teplow was a member of the faculty of the Department of Neurology, Harvard Medical School, Boston. Professor Teplow has published >200 peer-reviewed articles, including ~150 original articles and ~50 reviews, book chapters, and commentaries. Professor Teplow was a founding editor of the Journal of Molecular Neuroscience and Current Chemical Biology. He currently is Associate Editor-in-Chief of the American Journal of Neurodegenerative Disease. Professor Teplow is a member of numerous national and international scientific advisory and editorial boards.
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