TAILIEUCHUNG - Pharmacology: Principles and Practice

Several years ago we noted a paucity of textbooks that dealt with the principles of pharmacology as a science rather than pharmacology as a therapeutic entity. In an attempt to remedy this we organized a textbook designed to meet the needs of students interested in pharmacology at the advanced undergraduate and early graduate level. This text addresses the many facets that form the foundation of pharmacology. Students will find extensive discussions by leaders in the field are written in clear and straightforward manner. Illustrations are included to help further the reader’s understanding of the material covered in each chapter. The editors and authors have focused on the science of pharmacology and use drugs. | Pharmacology Principles and Practice Miles Hacker Kenneth Bachmann William Messer Academic Press is an imprint of Elsevier 30 Corporate Drive Suite 400 Burlington MA 01803 USA 525 B Street Suite 1900 San Diego California 92101-4495 USA 84 Theobald s Road London WC1X 8RR UK Copyright 2009 Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means electronic or mechanical including photocopy recording or any information storage and retrieval system without permission in writing from the publisher. Permissions may be sought directly from Elsevier s Science Technology Rights Department in Oxford UK phone 44 1865 843830 fax 44 1865 853333 E-mail permissions@. You may also complete your request online via the Elsevier homepage http by selecting Support Contact then Copyright and Permission and then Obtaining Permissions. Library of Congress Cataloging-in-Publication Data APPLICATION SUBMITTED British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. ISBN 978-0-12-36921-5 For information on all Academic Press publications visit our Web site at Printed in the United States of America 09 10 987654321 This textbook is dedicated to the memory of three of our close colleagues and friends Gerald Sherman Timothy Sullivan and James Byers and their efforts to help students understand and appreciate pharmacology and .

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• Drug Excretion
• Pharmacokinetic Modeling
• Risk Assessment
• Drug Resistance
• Cancer Cells
• Drug Discovery
• Administration of drugs
• Excretion of drugs
• Drug distribution
• Adrenal glands
• Thyroid gland
• endocrine system
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• bài viết khoa học
• Tạp chí Khoa học Công nghệ Việt Nam
• Excretion track
• Non woven fabric
• Drug resistant
• DNA Adenine Methyltransferase
• Drug target
• Future drug discovery challenges
• Novel drug target for antibiotics
• Antimicrobial drug discovery
• Antimicrobial drugs
• Marine bioprospecting
• Marine drug discovery
• Micro organisms
• Drug Discovery Process
• Medicinal Chemistry
• Silico Modeling
• Structure Based Drug
• Discovery 6 References
• Considerations for Successful
• of Drug Metabolism
• Drug Metabolite
• Quantitative Drug Metabolism
• Development Processes
• Drug Metabolism
• BMC Bioinformatics
• Literature based discovery
• Knowledge graph
• Literature mining
• Ensemble learning
• Meta learning
• Drug prediction
• Quantitative structure activity relationship
• Virtual screening stategies in drug discovery
• New drug lead identification
• Structure based virtual screening
• Ligand based virtual screening strategies
• Expecte biological activitie
• Drug action
• Vascular endothelial growth factor
• 3D similarity landscapes
• Drug target relations
• Compound protein relations
• Drug development
• Drug repositioning
• Biological effect
• Burger’s medicinal chemistry
• Force field approaches
• Quantitatrve structure
• Advances in force field approaches
• Electron cryomicroscopy
• Biological macromolecules
• Structural concepts
• Biomolecular simulations
• Structure based drug discovery
• Predictive power
• Molecular dynamics
• Monte carlo techniques
• Ion channel simulations
• Understanding allostery
• Ligand design
• Molecular dynamics applications
• Pharmacological assays
• Urinary tract
• Respiratory activity
• Pharma cological assays
• Neurotropic activity
• Drug discovery and evaluation
• Immunomodulatory activity
• Antidiabetic activity
• Anti pyretic activity
• Effects on peripheral nerve function
• Plasmodium vivax
• N myristoyl transferase
• Pharmacophore modeling
• Antimalarial drug discovery
• Virtual screening approaches
• Tinospora cordifolia
• Aristolochia bracteolate
• In silico study
• CADD (Computer Aided Drug Discovery)
• Aristolochia bracteolate using CADD
• Drug target interaction
• Marginalized denoising model
• Drug discovery prediction
• Drug repositioning prediction
• Relational machine learning
• Data integration
• Data mining
• Drug side effects
• High throughput screening
• Virtual screening
• Hit compounds
• Lead compounds
• Structure based drug design
• Ligand based drug design
• Induced pluripotent stem cells
• Reprogramming methods
• Induced pluripotent stem cell disease models
• Hematological diseases
• Drug associations
• Name entity recognition
• Text mining
• Document clustering
• Knowledge discovery
• Unsupervised feature extraction
• Principal component analysis
• Variational Bayes
• Posttraumatic stress disorder
• Heart disease
• In silico drug discovery
• Active learning
• Machine learning
• Computational biology