Protein Modelling

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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.

Recent developments in the field honored by the 2013 Nobel Prize in Chemistry Edited by an academic of international distinction Complex concepts explained via numerous figures Includes a recent literature review Includes supplementary material: sn.pub/extras

Autorentext
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.

Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319356532
    • Auflage Softcover reprint of the original 1st ed. 2014
    • Editor Gabor Naray-Szabo
    • Sprache Englisch
    • Genre Biology
    • Lesemotiv Verstehen
    • Größe H237mm x B159mm x T17mm
    • Jahr 2016
    • EAN 9783319356532
    • Format Kartonierter Einband
    • ISBN 978-3-319-35653-2
    • Titel Protein Modelling
    • Autor Andrew Gamble
    • Gewicht 562g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 329

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