Protein Modelling
1st Edition
Published on 13. November 2014
VIII, 329 pages
978-3-319-09976-7 (ISBN)
Description
In this volume, a detailed description of cutting-edge computational methods applied to protein modeling as well as specific applications are presented. Chapters include: the application of Car-Parrinello techniques to enzyme mechanisms, the outline and application of QM/MM methods, polarizable force fields, recent methods of ligand docking, molecular dynamics related to NMR spectroscopy, computer optimization of absorption, distribution, metabolism and excretion extended by toxicity for drugs, enzyme design and bioinformatics applied to protein structure prediction. A keen emphasis is laid on the clear presentation of complex concepts, since the book is primarily aimed at Ph.D. students, who need an insight in up-to-date protein modeling. The inclusion of descriptive, color figures will allow the reader to get a pictorial representation of complicated structural issues.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 329 p. 117 illus., 78 illus. in color.
File size
14,23 MB
ISBN-13
978-3-319-09976-7 (9783319099767)
DOI
10.1007/978-3-319-09976-7
Schweitzer Classification
Other editions
Additional editions
Person
Hungarian chemist, professor, member of the Hungarian Academy of Sciences, from 1996 to 1999, Deputy Secretary General. The theoretical chemistry and structural biology renowned researcher. Between 2006 and 2013, was the Director General of the Academy Library.
Content
Introduction.- Quantum chemical calculations for small protein models.- Car-Parrinello simulations of chemical reactions in proteins.- Strictly localised molecular orbitals in QM/MM methods.- Polarizable force fields for proteins.- Protein electrostatics.- Molecular mechanics/coarse-grained models.- Modelling the Dynamic Architecture of Biomaterials using Continuum Mechanics.- Structure prediction of transmembrane proteins.- Dynamics of small, folded proteins.- Protein Ligand Docking in Drug Discovery.- ADMET prediction based on protein structures.- Index.
