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Thursday, August 6, 2020 | History

4 edition of QSAR in toxicology and xenobiochemistry found in the catalog.

QSAR in toxicology and xenobiochemistry

proceedings of a symposium, Prague, Czechoslovakia, September 12-14, 1984 (a satellite symposium to the 5th European Symposium on Chemical Structure-Biological Activity, Bad Segeberg, F.R.G., September 17-21, 1984)

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  • 38 Currently reading

Published by Elsevier, Distributors for the United States and Canada, Elsevier Science in Amsterdam, New York, New York, NY .
Written in English

    Subjects:
  • Toxicity testing -- Congresses.,
  • QSAR (Biochemistry) -- Congresses.,
  • Pharmaceutical chemistry -- Congresses.,
  • Environmentally induced diseases -- Congresses.,
  • Xenobiotics -- Toxicology -- Congresses.,
  • Biochemistry -- congresses.,
  • Environmental Pollutants -- adverse effects -- congresses.,
  • Structure-Activity Relationship -- congresses.

  • Edition Notes

    Other titlesXenobiochemistry.
    Statementedited by Miloň Tichý.
    SeriesPharmacochemistry library ;, v. 8
    ContributionsTichý, Miloň., Společnost pracovního lékařství (Czechoslovakia), European Symposium on Quantitative Structure-Activity Relationships (5th : 1984 : Bad Segeberg, Germany)
    Classifications
    LC ClassificationsRA1199 .Q27 1985
    The Physical Object
    Paginationx, 474 p. :
    Number of Pages474
    ID Numbers
    Open LibraryOL3026373M
    ISBN 100444424830
    LC Control Number85006781

      QSAR and SPECTRAL-SAR in Computational Ecotoxicology: Medicine & Health Science Books @   A MEDLINE-indexed journal. Topics include a critical analysis of general xenobiochemistry, clinical pharmacokinetics and metabolism, animal pharmacokinetics and metabolism, pharmacogenetics, molecular toxicology, and xenobiotic transporters. It offers accelerated publication.

    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 organisms. It is the . Book Description. As a result of new statistical and mathematical approaches, improved visualization tools, and recognition by international regulatory groups, quantitative structure-activity relationships (QSARs) now play important roles in pharmacology for the design of new drugs as well as in toxicology and ecotoxicology for hazard identification and risk assessment.

    Quantitative Structure-Activity Relationships based on molecular descriptors calculated with Correlation Weights of Local Graph Invariants were developed to model the toxicity of aliphatic compounds to the 50% population growth inhibition. The relationships were computed on the basis of Labeled Hydrogen- Filled Graphs and correlation weights were obtained by an optimization to render . ABC Cumputer-assisted design of drug-like synthetic libraries / P. Seneci [et al.] In: Physico-Chemical and Computational Approaches to Drug Discovery.


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QSAR in toxicology and xenobiochemistry Download PDF EPUB FB2

Purchase Mode of Action, Metabolism and Toxicology - 1st Edition. Print Book & E-Book. ISBNBook Edition: 1. Get this from a library. QSAR in toxicology and xenobiochemistry: proceedings of a symposium, Prague, Czechoslovakia, September(a satellite symposium to the 5th European Symposium on Chemical Structure-Biological Activity, Bad Segeberg, F.R.G., September).

QSAR IN TOXICOLOGY AND XENOBIOCHEMISTRY Proceedings of a Symposium, Prague, Czechoslovakia, September 12—14, (a satellite symposium to the 5th European Symposium (r— on Chemical Structure-Biological Activity, Bad Segeberg, F.R.G., ^ * September) UNIVERSITATS-BIBLIOTHEK Edited by MILON TICHY.

Mark T. Cronin and John C. Dearden, QSAR in Toxicology. Prediction of Non-lethal Mammalian Toxicological Endpoints, and Expert Systems for Toxicity Prediction, Quantitative Structure-Activity Relationships, 14, 6, (), ().Cited by: New journals and books have appeared in each of these fields, however, the combination of QSAR and environmental sciences is still in its infancy.

After the success of the Workshop on Quantitative Structure-Activity Relationships (QSAR) in Environmental Toxicology, held at McMaster University, Aug ust, with the proceedings publ Brand: Springer Netherlands.

“Overall therefore, a book which can be read in its own right for the first half and then a valuable source of reference for the second half. A useful tome to have on the bookshelf for anyone in the field.” (British Toxicology Society, 1 July ) Author Bios.

Pavel Anzenbacher heads the Department of Pharmacology at Palacky University. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR.

Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and.

Chemosphere, Vol, No.8, pp OO2, /86 $ +.OO Printed in Great Britain Pergamon Journals Ltd. A t~W APPROACH IN ECOTOXICOLOGICAL QSAR STUDIES. A QSAR equation, based only on the hydrophobicity of the compounds, was of minor quality. In addition to the QSAR study to fish LC50 data of the tested organophos-phorus compounds, the influence of chemical reactivity towards NBP on fish toxicity and the applicability of.

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.

QSAR in Toxicology and Xenobiochemistry. Professor Heinz Fraenkel-Conrat was present at the inception of this book and throughout the writing encouraged and criticized in apprOximately equal. Georg Thieme Verlag, Stuttgart, New York D 19 Bio-Organic Heterocycles Synthetic, Physical Organic and Phannacological Aspects Proceedings of the Third FECHEM Conference of Heterocycles in Bio-Organic Chemistry, Balatonfüred, Hungary, MayD 23 QSAR and Strategies in the Design of Bioactive Compounds J.

Seydel Typically QSAR models derived from non linear machine learning is seen as a "black box", which fails to guide medicinal chemists. Recently there is a relatively new concept of matched molecular pair analysis or prediction driven MMPA which is coupled with QSAR model in order to identify activity cliffs.

Evaluation of the quality of QSAR models. QSAR modeling produces predictive models derived. Book Review: Sulphur-Containing Drugs and Related Organic Compounds. Chemistry, Biochemistry, and Toxicology, Volume 2, Part B. Analytical, Biochemical, and Toxicological Aspects of Sulphur Xenobiochemistry.

L DaMani. This book focuses on computational modeling of ecotoxicity of chemicals in the predictive toxicology field in a regulatory context, featuring a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, and more.

In Silico methods to predict toxicity have become increasingly important recently, particularly in light of European legislation such as REACH and the Cosmetics Regulation. They are also being used extensively worldwide e.g. in the USA, Canada, Japan and Australia.

In assessing the risk that a chemical may pose to human health or to the environment, focus is now being directed towards. Rekker, R.F.

The principles of congenericity, a frequently overlooked prerequisite in quantitative structure-activity and structure-toxicity relationship studies. In QSAR in Toxicology and Xenobiochemistry, Tichy, M.

(Ed.), Elsevier, Amsterdam, pp. 3– Google Scholar. The haloacetonitriles (HANs) is an emerging class of nitrogenous-disinfection byproducts (N-DBPs) present in disinfected drinking, recycled, processed wastewaters, and reuse waters.

HANs were identified as primary forcing agents that accounted for DBP-associated toxicity. We evaluated the toxic characteristics of iodoacetonitrile (IAN), bromoacetonitrile (BAN), dibromoacetonitrile (DBAN.

The field of his research interest is QSAR and Molecular Modeling with application in Drug Design and Ecotoxicological Modeling. Roy has published more than research articles in refereed journals (current SCOPUS h index 40).

He has also coauthored two QSAR related books, edited five QSAR books and published more than ten book chapters. QSAR in Environmental Toxicology th Edition by K. Kaiser (Editor) ISBN ISBN X. Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

The digit and digit formats both work. The functionalities of the OECD QSAR Toolbox serve users with sufficient understanding of (eco)toxicology as a decision support system for hazard assessment: Prevent duplication of animal tests. When existing high quality data are found, there is no need to duplicate the test.

Intelligent testing strategies. By forming categories and.A MEDLINE-indexed journal. Topics include a critical analysis of general xenobiochemistry, clinical pharmacokinetics and metabolism, animal pharmacokinetics and metabolism, pharmacogenetics, molecular toxicology, and xenobiotic transporters.

It offers accelerated publication.Balonová T, Zeljenková D () Reproductive and teratological studies with a pyridoindole derivative. I. Effect on fertility and general reproductive performance of the rat. QSAR in toxicology and xenobiochemistry 8. Amsterdam. Elsevier,p. – Google Scholar.