Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment

Quantitative structure-activity relationships ...
Kunal Roy, Kunal Roy
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Last edited by ImportBot
February 27, 2022 | History

Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment

"This book discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis"--Provided by publisher.

Publish Date
Language
English
Pages
703

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Edition Availability
Cover of: Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment
Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment
2015, Medical Information Science Reference, an imprint of IGI Global
in English

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Book Details


Table of Contents

An introduction to the basic concepts in QSAR aided drug design / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi
The ETA indices in QSAR/QSPR/QSTR research / Kunal Roy, Rudra Narayan Das
Evolution of multivariate image analysis in QSAR : the case for a neglected disease / Matheus Puggina de Freitas, Mariene Helena Duarte
Quantitative structure-activity/property/toxicity relationships through conceptual density functional theory based reactivity descriptors / Sudip Pan, Ashutosh Gupta, Venkatesan Subramanian, Pratim Kumar Chattaraj
Importance of applicability domain of QSAR models / Kunal Roy, Supratik Kar
QSAR of antioxidants / Omar Deeb, Mohammad Goodarzi
QSAR studies on bacterial efflux pump inhibitors / Khac-Minh Thai, Trong-Nhat Do, Thuy-Viet-Phuong Nguyen, Khanh-Tho D. Nguyen, Thanh-Dao Tran
Integrated in silico methods for the design and optimization of novel drug candidates : a case study on fluoroquinolones mycobacterium tuberculosis DNA gyrase Inhibitors / Nikola Minovski, Marjana Novi
Computational approaches for the discovery of novel hepatitis C Virus NS3/4A and NS5B inhibitors / Khac-Minh Thai, Quoc-Hiep Dong, Thi-Thanh-Lan Nguyen, Duy-Phong Le, Minh-Tri Le, Thanh-Dao Tran
QSAR models towards cholinesterase inhibitors for the treatment of Alzheimer's disease / C. Gopi Mohan, Shikhar Gupta
Ligand and structure based drug design of non-steroidal aromatase inhibitors (NSAIs) in breast cancer / Tarun Jha, Nilanjan Adhikari, Amit Kumar Halder, Chanchal Mondal, Achintya Saha
Computational techniques application in environmental exposure assessment / Karolina Jagiello, Tomasz Puzyn
QSAR based studies of nanomaterials in the environment / Valeria V. Kleandrova, Feng Luan, Alejandro Speck-Planche, M. Natália D.S. Cordeiro
Quantitative nanostructure-activity relationship models for the risk assessment of nanomaterials / Eleni Vrontaki, Thomas Mavromoustakos, Georgia Melagraki, Antreas Afantitis
QSPR/QSAR analyses by means of the CORAL software: results, challenges, perspectives : CORAL software : results, challenges, perspectives / Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Orazio Nicolotti, Angelo Carotti, Karel Nesmerak, Aleksandar M. Veselinovi, Jovana B. Veselinovi, Pablo R. Duchowicz, Daniel Bacelo, Eduardo A. Castro, Bakhtiyor F. Rasulev, Danuta Leszczynska, Jerzy Leszczynski.

Edition Notes

"Premier reference source."--Cover.

Includes bibliographical references (pages 586-687) and index.

Published in
Hershey PA
Series
Advances in chemical and materials engineering (ACME) book series
Copyright Date
2015

Classifications

Dewey Decimal Class
615.1/9
Library of Congress
RS420 .Q36 2015, RS420

The Physical Object

Pagination
xxiv, 703 pages
Number of pages
703

ID Numbers

Open Library
OL30390610M
ISBN 10
1466681365
ISBN 13
9781466681361, 9781466681378
LCCN
2015000076
Digital Object Identifier (DOI)
10.4018/978-1-4666-8136-1.ch001

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February 27, 2022 Edited by ImportBot import existing book
September 21, 2020 Created by MARC Bot import new book