Computational Toxicology Volume I (Record no. 295547)

MARC details
000 -LEADER
fixed length control field 02372nam a2200169Ia 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627030496
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615 COM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Brad Reisfeld
245 ## - TITLE STATEMENT
Title Computational Toxicology Volume I
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Humana Press ; Springer
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 2 v. : ill. ; 26 cm.
490 ## - SERIES STATEMENT
Series statement Methods in molecular biology 929 ; Springer protocols
520 ## - SUMMARY, ETC.
Summary, etc. Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with Âââ,¬â"¢best practicesÂââ,¬â"¢ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics. The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular Biology™ series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting. Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Toxicology -- Data processing. Computational Biology. Toxicology.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Arthur N Mayeno
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type Public note
    Dewey Decimal Classification     Reference Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Reference 01/09/2015 615 REI-C. V1 DCB2373 01/09/2015 19/07/2019 Book REFERENCE COLLECTIONS