E-Book, Englisch, 458 Seiten
Papoian Coarse-Grained Modeling of Biomolecules
1. Auflage 2017
ISBN: 978-1-4665-7617-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 458 Seiten
Reihe: Series in Computational Biophysics
ISBN: 978-1-4665-7617-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
"The chapters in this book survey the progress in simulating biomolecular dynamics…. The images conjured up by this work are not yet universally loved, but are beginning to bring new insights into the study of biological structure and function. The future will decide whether this scientific movement can bring forth its Picasso or Modigliani." –from the Foreword by Peter G. Wolynes, Bullard-Welch Foundation Professor of Science, Rice University
This book highlights the state-of-art in coarse-grained modeling of biomolecules, covering both fundamentals as well as various cutting edge applications. Coarse-graining of biomolecules is an area of rapid advances, with numerous new force fields having appeared recently and significant progress made in developing a systematic theory of coarse-graining. The contents start with first fundamental principles based on physics, then survey specific state-of-art coarse-grained force fields of proteins and nucleic acids, and provide examples of exciting biological problems that are at large scale, and hence, only amenable to coarse-grained modeling.
- Introduces coarse-grained models of proteins and nucleic acids.
- Showcases applications such as genome packaging in nuclei and understanding ribosome dynamics
- Gives the physical foundations of coarse-graining
- Demonstrates use of models for large-scale assemblies in modern studies
Garegin A. Papoian is the first Monroe Martin Associate Professor with appointments in the Department of Chemistry and Biochemistry and the Institute for Physical Science and Technology at the University of Maryland.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Inverse Monte Carlo Methods
Alexander P. Lyubartsev
Thermodynamically Consistent Coarse-Graining of Polymers
Marina G. Guenza
Microscopic Physics-Based Models of Proteins and Nucleic Acids: UNRES and NARES
Maciej Baranowski, Cezary Czaplewski, Ewa I. Golas, Yuan-Jie He, Dawid Jagiela, Pawel Krupa, Adam Liwo, Gia G. Maisuradze, Mariusz Makowski, Magdalena A. Mozolewska, Andrei Niadzvedtski, Antti J. Niemi, Shelly Rackovsky, Rafal Slusarz, Adam K. Sieradzan, Stanislaw Oldziej, Tomasz Wirecki, Yanping Yin, Bartlomiej Zaborowski, and Harold A. Scheraga
AWSEM-MD: Predicting Protein Structure and Function
Garegin A. Papoian and Peter G. Wolynes
Elastic Models of Biomolecules
Qiang Cui
Knowledge-Based Models: RNA
Raúl Méndez, Andrey Krokhotin, Marino Convertino, Jhuma Das, Arpit Tandon, Nikolay V. Dokholyan
The Need for Computational Speed: State of the Art in DNA Coarse Graining
Davit Potoian and Garegin A. Papoian
Coarse-Grained Modeling of Nucleosomes and Chromatin
Lars Nordenskiöld, Alexander P. Lyubartsev, and Nikolay Korolev
Modeling of Genomes
Naoko Tokuda and Masaki Sasai
Mechanics of Viruses
Olga Kononova, Artem Zhmurov, Kenneth A. Marx and Valeri Barsegov