Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly
- 1st Edition, Volume 170 - March 4, 2020
- Latest edition
- Editors: Birgit Strodel, Bogdan Barz
- Language: English
Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly, Volume 170 in the Progress in Molecular Biology and Translational Science series, prov… Read more
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 on 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
Scientists working actively in the field of molecular simulations of proteins. The Volume is also appropriate for new investigators to the field or experimentalists who wish to familiarize themselves with computational methods in biophysics and biochemistry
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 β-protein oligomer formation: Molecular dynamics perspective
Brigita Urbanc
11. Computational studies of protein aggregation mediated by amyloid: Fibril elongation and secondary nucleation
Wei Han
- Edition: 1
- Latest edition
- Volume: 170
- Published: March 4, 2020
- Language: English
BS
Birgit Strodel
Birgit Strodel studied chemistry at Heinrich Heine University Düsseldorf (Germany) and the University of North Carolina at Chapel Hill (USA) and received her PhD in Theoretical Chemistry from the University of Frankfurt/Main (Germany) in 2005. She then joined the group of Prof. David J. Wales at Cambridge University (UK) as a postdoctoral research associate. Since 2009 she heads the Computational Biochemistry Group at the Jülich Research Centre (Germany) and was appointed Professor at Heinrich Heine University Düsseldorf in 2011. Her research interests primarily involve the thermodynamics and kinetics of protein aggregation.
Affiliations and expertise
Jülich Research Centre, GermanyBB
Bogdan Barz
Bogdan Barz has graduated in 2002 from Babeș-Bolyai University of Cluj-Napoca, Romania. During his Masters in Applied Mathematics and Astronomy at Babeș-Bolyai University between 2002-2004 he also worked as a researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies of Cluj-Napoca. In 2009 he received his PhD from the Physics and Astronomy Department at the University of Missouri in Columbia, MO, USA, followed by a postdoctoral period at the Physics Department at Drexel University, Philadelphia, USA. In 2012 he joined the Institute of Complex Systems at Forschungszentrum Jülich (Research Centre Jülich), Germany as a postdoctoral fellow. In 2018 he became an independent group leader at the Institute of Physical Biology, Heinrich Heine University Düsseldorf, Germany.Bogdan Barz has graduated in 2002 from Babeș-Bolyai University of Cluj-Napoca, Romania. During his Masters in Applied Mathematics and Astronomy at Babeș-Bolyai University between 2002-2004 he also worked as a researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies of Cluj-Napoca. In 2009 he received his PhD from the Physics and Astronomy Department at the University of Missouri in Columbia, MO, USA, followed by a postdoctoral period at the Physics Department at Drexel University, Philadelphia, USA. In 2012 he joined the Institute of Complex Systems at Forschungszentrum Jülich (Research Centre Jülich), Germany as a postdoctoral fellow. In 2018 he became an independent group leader at the Institute of Physical Biology, Heinrich Heine University Düsseldorf, Germany.
Affiliations and expertise
Heinrich Heine University, GermanyRead Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly on ScienceDirect