Amazon cover image
Image from Amazon.com

Computational chemistry methods in structural biology / edited by Christo Christov.

Contributor(s): Series: Advances in protein chemistry and structural biology ; v. 85.2011Description: 1 online resource (vii, 351 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780123864864
  • 0123864860
  • 9780123864857
  • 0123864852
  • 128328149X
  • 9781283281492
Subject(s): Genre/Form: LOC classification:
  • QD39.3.E46 C66 2011eb
Online resources:
Contents:
Application of computational methods to the design of fatty acid amide hydrolase (FAAH) inhibitors based on a carbamic template structure -- Recent theoretical and computational advances for modeling protein-ligand binding affinities -- Hybrid schemes based on quantum mechanics/molecular mechanics simulations: goals to success, problems, and perspectives -- Exploring membrane and protein dynamics with dissipative particle dynamics -- Coarse-grained representation of protein flexibility: foundations, successes, and shortcomings -- Recent advances in the molecular modeling of estrogen receptor-mediated toxicity -- Multiscale computational methods for mapping conformational ensembles of G-protein-coupled receptors -- Advances in implicit models of water solvent to compute conformational free energy and molecular dynamics of proteins at constant pH.
Summary: Published continuously since 1944, the Advances in Protein Chemistry and Structural Biology serial has been a continuous, essential resource for protein chemists. Covering reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design, each volume brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics. This volume features articles on Computational Chemistry methods in Structural Biology. Essential resource for protein chemists. This volume features articles on Computational Chemistry methods in Structural Biology.
Item type: eBooks
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and indexes.

Published continuously since 1944, the Advances in Protein Chemistry and Structural Biology serial has been a continuous, essential resource for protein chemists. Covering reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design, each volume brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics. This volume features articles on Computational Chemistry methods in Structural Biology. Essential resource for protein chemists. This volume features articles on Computational Chemistry methods in Structural Biology.

Application of computational methods to the design of fatty acid amide hydrolase (FAAH) inhibitors based on a carbamic template structure -- Recent theoretical and computational advances for modeling protein-ligand binding affinities -- Hybrid schemes based on quantum mechanics/molecular mechanics simulations: goals to success, problems, and perspectives -- Exploring membrane and protein dynamics with dissipative particle dynamics -- Coarse-grained representation of protein flexibility: foundations, successes, and shortcomings -- Recent advances in the molecular modeling of estrogen receptor-mediated toxicity -- Multiscale computational methods for mapping conformational ensembles of G-protein-coupled receptors -- Advances in implicit models of water solvent to compute conformational free energy and molecular dynamics of proteins at constant pH.

Elsevier ScienceDirect All Books

Copyright © 2020 Alfaisal University Library. All Rights Reserved.
Tel: +966 11 2158948 Fax: +966 11 2157910 Email:
librarian@alfaisal.edu