Molecular Machines : : A Materials Science Approach / / Giovanni Zocchi.

• Superior document: Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English
• VerfasserIn: Zocchi, Giovanni,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2018]; ©2018
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (192 p.) :; 94 b/w illus.
• Other title: Frontmatter --; Contents --; Preface --; 1. Brownian Motion --; 2. Statics of DNA Deformations --; 3. Kinematics of Enzyme Action --; 4. Dynamics of Enzyme Action --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781400890064; 9783110604252; 9783110603255; 9783110604207; 9783110603200; 9783110606591
• DOI: 10.23943/9781400890064?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Giovanni Zocchi.

Molecular Machines presents a dynamic new approach to the physics of enzymes and DNA from the perspective of materials science. Unified around the concept of molecular deformability—how proteins and DNA stretch, fold, and change shape—this book describes the complex molecules of life from the innovative perspective of materials properties and dynamics, in contrast to structural or purely chemical approaches. It covers a wealth of topics, including nonlinear deformability of enzymes and DNA; the chemo-dynamic cycle of enzymes; supra-molecular constructions with internal stress; nano-rheology and viscoelasticity; and chemical kinetics, Brownian motion, and barrier crossing. Essential reading for researchers in materials science, engineering, and nanotechnology, the book also describes the landmark experiments that have established the materials properties and energy landscape of large biological molecules.Molecular Machines is also ideal for the classroom. It gives graduate students a working knowledge of model building in statistical mechanics, making it an essential resource for tomorrow's experimentalists in this cutting-edge field. In addition, mathematical methods are introduced in the bio-molecular context—for example, DNA conformational transitions are used to illustrate the transfer matrix formalism. The result is a generalized approach to mathematical problem solving that enables students to apply their findings more broadly.Molecular Machines represents the next leap forward in nanoscience, as researchers strive to harness proteins, enzymes, and DNA as veritable machines in medicine, technology, and beyond.