Computational Electrostatics for Biological Applications [electronic resource] : Geometric and Numerical Approaches to the Description of Electrostatic Interaction Between Macromolecules / edited by Walter Rocchia, Michela Spagnuolo.
Material type: TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XII, 306 p. 92 illus., 73 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783319122113
- Life sciences
- Computer graphics
- Bioinformatics
- Computational biology
- Geometry
- Biomathematics
- Physics
- Biophysics
- Biological physics
- Life Sciences
- Computer Appl. in Life Sciences
- Biophysics and Biological Physics
- Mathematical and Computational Biology
- Theoretical, Mathematical and Computational Physics
- Computer Graphics
- Geometry
- 570.285 23
- QH324.2-324.25
Item type | Current library | Call number | URL | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|
e-Books | SARVAJNA LIBRARY, UHS, BAGALKOT | 570.285 (Browse shelf(Opens below)) | Link to resource | Available | Click on the URL to access eBook | EB144 |
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.
There are no comments on this title.