Novel Developments in Cryo‐EM of Biological Molecules
eBook - ePub

Novel Developments in Cryo‐EM of Biological Molecules

Resolution in Time and State Space

  1. 532 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Novel Developments in Cryo‐EM of Biological Molecules

Resolution in Time and State Space

About this book

Cryo-EM, as it is currently practiced in many laboratories, is limited to the visualization of molecules that are in thermal equilibrium at the time before freezing. A further limitation is that the existing software does not fully exploit the information that is contained in the images of large ensembles of molecules in thermal equilibrium. This book is a collection of recent articles by the author, reprinted with introductions, and they mainly describe two novel methods in cryo-EM, one computational and the other experimental that requires the use of a microfluidic device. Both methods have the capacity to shed light on the dynamic behavior of biomolecules. Combined, they greatly expand the range of applications of cryo-EM.

The book describes a successful approach in which, based on cryo-EM data, all states visited by the molecule in thermal equilibrium are mapped by manifold embedding—a method of geometric machine learning—and the energy landscape of the molecule is derived. It also discusses methods and biological results of time-resolved cryo-EM, following a reaction in a non-equilibrium system over a short period of time and resulting in the capture of short-lived states that have been inaccessible by standard methods of cryo-EM.

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Yes, you can access Novel Developments in Cryo‐EM of Biological Molecules by Joachim Frank in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biophysics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Part I: Single-Particle Cryo-EM of Molecules in Thermal Equilibrium
  9. Part II: Machine Learning Applied to Ensembles of Molecules in Thermal Equilibrium: Resolution in State Space
  10. Part III: Non-Equilibrium Methods: Resolution in Time
  11. Index