4 edition of QSAR in drug design and toxicology found in the catalog.
Includes bibliographies and indexes.
|Statement||edited by Dušan Hadži and Borka Jerman-Blažič.|
|Series||Pharmacochemistry library ;, v. 10|
|Contributions||Hadži, D., Jerman-Blažič, Borka.|
|LC Classifications||RS420 .E87 1986|
|The Physical Object|
|Pagination||x, 375 p. :|
|Number of Pages||375|
|LC Control Number||87005064|
Evolution of QSAR. QSAR concepts have long been used in the design of medicinal chemistry series. Craig suggested that the properties of possible substituents be plotted versus each other and that substituents be chosen to sample the full range of plotted values. 18 Topliss invented schemes for the stepwise exploration of a series according to the physical chemical property that Cited by: Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of key implementation advice that will aid researchers greatly in their laboratory pursuits. Authoritative and practical, Multi-Target Drug Design Using Chem-Bioinformatic Approaches seeks to aid all scientists working in the field of drug discovery : Humana Press.
The QSAR Toolbox incorporates a series of external QSAR models that can be run when needed. Build data matrices and prediction reports Once you have done your assessment with the Toolbox, it is time to share the results with your colleagues, customers or regulators. eBook is an electronic version of a traditional print book THIS can be read by using a personal computer or by using an eBook reader. (An eBook reader can be a software application for use on a computer such as Microsoft's free Reader application, or a book-sized computer THIS is used solely as a reading device such as Nuvomedia's Rocket eBook.
Book Description. QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation of the effector-receptor. Title: Dynamic QSAR Techniques: Applications in Drug Design and Toxicology VOLUME: 8 ISSUE: 17 Author(s):Ovanes Mekenyan Affiliation:Laboratory of Mathematical Chemistry, University “Prof. As. Zlatarov”, Bourgas, Bulgaria Keywords:3d-screening, conformational flexibility, qsar, dynamic qsar, corepa, 3d-qsar Abstract: The basic principles of 3-D quantitative structure-activity Cited by:
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Docking and pharmacophore are non-QSAR approaches in in silico drug design that can support the QSAR findings. Approaches like CoRIA and COMBINE can use information generated from the ligand–receptor complexes to extract the critical clue concerning the types of significant interaction at the level of both the receptor and the ligand.
Quantitative Structure-Activity Relationship. Quantitative structure activity relationship (QSAR) is a strategy of the essential importance for chemistry and pharmacy, based on the idea that when we change a structure of a molecule then also the activity or property of the substance will be modified.
Focus on gene technology in drug design, omics-technologies computational methods experimental techniques of structure determination multiple examples on mode of action of current drugs, ADME-tox properties in drug development, QSAR methods, combinatorial chemistry, biologicals, ribosome, targeting protein-protein interfaces.
In silico toxicology is one type of toxicity assessment that uses computational methods to analyze, simulate, visualize, or predict the toxicity of chemicals. In silico toxicology aims to complement existing toxicity tests to predict toxicity, prioritize chemicals, guide toxicity tests, and minimize late‐stage failures in drugs design.
There Cited by: Get this from a library. Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment.
[Kunal Roy;] -- "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.
Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry.5/5(1).
The fields of his research interest are Quantitative Structure-Activity Relationship (QSAR) and Chemometric Modeling with application in Drug Design and Ecotoxicological Modeling. Roy has published about research articles in refereed journals (current SCOPUS h index 40; SCOPUS Author ID ).
He has also coauthored two QSAR Brand: Springer US. Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results Edition: 1.
Drug Design & Toxicology Page 9Dynamic QSAR Techniques: applications in drug design and toxicologyIdentification of non-toxic drug design is a major challenge in the field of drug design, most of the drug failure due to toxicity beingfound in late development or even in clinical trials.
Thus the use of predictive toxicology is called for. Description: This well-crafted resource in the field of drug design recounts recent developments in the field of quantitative structure-activity relationships (QSARs) with applications to drug design, toxicology, and risk assessment along with discussions of emerging fields such as nanomaterials.
The accompanying online version of the book Pages: Thus, the book should be valuable for medicinal, agricultural and theoretical chemists, biochemists and biologists, as well as for other scientists interested in drug design.
Its content, starting at a very elementary level and proceeding to the latest methodological results, the strengths and limitations of 3D QSAR approaches, makes the book Price: $ QSAR in drug design and toxicology.
Amsterdam ; New York: Elsevier, (OCoLC) Online version: European Symposium on Quantitative Structure-Activity Relationships (6th: Portoroz, Slovenia). QSAR in drug design and toxicology. Amsterdam ; New York: Elsevier, (OCoLC) Material Type: Conference publication.
She has a BSc in Chemistry and Pharmacology and a PhD in QSAR and Drug Design and over 25 publications to her name. She was the co-organiser of the 11th International Workshop on the Human Health and Environmental Sciences, Liverpool, May and the SETAC-UK Annual Meeting, Liverpool, September He has pioneered in the area of drug design using quantitative structure activity relationships, QSAR, encoded in structure indices with electronic and topological molecular information.
He has published over research articles and 9 books, largely devoted to the introduction and application of this information in. QSAR Studies on Bacterial Efflux Pump Inhibitors: /ch Antimicrobial drug resistance occurs when bacteria undergo certain modifications to eliminate the effectiveness of drugs, chemicals, or other agents designedCited by: 1.
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment Book February with Reads How we measure 'reads'. Drug Design - edited by Kenneth M.
Merz, Jr May INTRODUCTION. With nearly fifty years of rich history of methodology developments and applications (the Hansch article of is often considered first in the field), quantitative structure/activity relationship (QSAR) modeling is a.
Recent Advances in QSAR Studies: Methods and Applications presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part of this volume is handbook-esque and consists of a comprehensive review of QSAR methodology written by outstanding scientists and highly experienced lecturers.
" QSAR in Drug Design and Toxicology: Proceedings of the 6th European Symposium on Quantitative Structure-Activity Relationships, Protoroz, Septemberby A copy that has been read, but remains in clean condition. All pages are intact, and the cover is intact. An Introduction to the Basic Concepts in QSAR-Aided Drug Design: /ch The need for the development of new drugs to combat existing and newly identified conditions is unavoidable.
One of the important tools used in the advancedCited by: 1. Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models relate the predictor variables to a categorical value.CHEMISTRY, TOXICOLOGY, and QSAR: an introduction 6 2 Toxicology and prediction Toxicology principles: modes of action Toxicology (from the Greek words toxicos and logos) is the study of the adverse effects of chemicals on living Size: 1MB.in the drug design process.
Typical design processes for a number of drug development scenarios are presented in the ﬁrst part of the book.
Multiple drug design processes are presented, because the process itself changes depending upon whether the drug target is a protein, DNA, a target within the central nervous system, etc.