Книга Computational Electrostatics for Biological Applications Walter Rocchia

Computational Electrostatics for Biological Applications

Geometric and Numerical Approaches to the Description of Electrostatic Interaction Between Macromolecules

Език: Английски език
Корици: С твърди корици
Наличност: Външен склад в ограничено количество
Изпращаме след 13-18 дни
178.28 348.69 лв
This book presents established and new approaches to perform calculations of electrostatic interacti...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2014
страници
306
EAN
9783319122106
ISBN
331912210X
Enbook ID
06841804
Теглоt
6033
Размери
155 x 235 x 24

Пълно описание

This book presents established and new approaches to perform calculations of electrostatic interactions at the nanoscale, with particular focus on molecular biology applications. It is based on the proceedings of the Computational Electrostatics for Biological Applications international meeting, which brought together researchers in computational disciplines to discuss and explore diverse methods to improve electrostatic calculations. Fostering an interdisciplinary approach to the description of complex physical and biological problems, this book encompasses contributions originating in the fields of geometry processing, shape modeling, applied mathematics, and computational biology and chemistry. The main topics covered are theoretical and numerical aspects of the solution of the Poisson-Boltzmann equation, surveys and comparison among geometric approaches to the modelling of molecular surfaces and related discretization and computational issues. It also includes a number of contributions addressing applications in biology, biophysics and nanotechnology. The book is primarily intended as a reference for researchers in the computational molecular biology and chemistry fields. As such, it also aims at becoming a key source of information for a wide range of scientists who need to know how modeling and computing at the molecular level may influence the design and interpretation of their experiments.§

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