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The Resource Computational toxicology, Volume 930, Part 2, edited by Brad Reisfeld, Arthur N. Mayeno

Computational toxicology, Volume 930, Part 2, edited by Brad Reisfeld, Arthur N. Mayeno

Label
Computational toxicology, Volume 930, Part 2
Title
Computational toxicology
Title number
Volume 930
Title part
Part 2
Statement of responsibility
edited by Brad Reisfeld, Arthur N. Mayeno
Contributor
Subject
Language
eng
Summary
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 'best practices' 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
Member of
Cataloging source
SCB
Dewey number
615.900285
Illustrations
illustrations
Index
index present
LC call number
RA1193.4
LC item number
.C662 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1961-
http://library.link/vocab/relatedWorkOrContributorName
  • Reisfeld, Brad
  • Mayeno, Arthur N.
Series statement
Methods in molecular biology,
Series volume
v. 930, pt. 2
http://library.link/vocab/subjectName
  • Toxicology
  • Toxicology
Label
Computational toxicology, Volume 930, Part 2, edited by Brad Reisfeld, Arthur N. Mayeno
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Classification models for safe drug molecules
  • A.K. Madan, Sanjay Bajaj, Harish Dureja
  • QSAR and metabolic assessment tools in the assessment of genotoxicity
  • Andrew P. Worth, Silvia Lapenna, Rositsa Serafimova
  • Gene expression networks
  • Reuben Thomas, Christopher J. Portier
  • Construction of cell type-specific logic models of signaling networks using CellNOpt
  • Melody K. Morris, Ioannis Melas, Julio Saez-Rodriguez
  • Regulatory networks
  • Gilles Bernot, Jean-Paul Comet, Christine Risso-de Feverney
  • Methods for building QSARs
  • Computational reconstruction of metabolic networks from KEGG
  • Tingting Zhou
  • Biomarkers
  • Harmony Larson, Elena Chan, Sucha Sudarsanam, and Dale E. Johnson
  • Biomonitoring-based environmental public health indicators
  • Andrey I. Egorov, Dafina Dalbokova, Michal Krzyzanowski
  • Modeling for regulatory purposes (risk and safety assessment)
  • Hisham El-Masri
  • Developmental toxicity prediction
  • Raghuraman Venkatapathy, Nina Ching Wang
  • James Devillers
  • Predictive computational toxicology to support drug safety assessment
  • Luis G. Valerio Jr.
  • Developing a practical toxicogenomics data analysis system utilizing open-source software
  • Takehiro Hirai, Naoki Kiyosawa
  • Systems toxicology from genes to organs
  • John Jack, John Wambaugh, Imran Shah
  • Agent-based models of cellular systems
  • Nicola Cannata, Flavio Corradini, Emanuela Merelli, and Luca Tesei
  • Linear algebra
  • Kenneth Kuttler
  • Accessing and using chemical databases
  • Ordinary differential equations
  • Jiří Lebl
  • On the development and validation of QSAR models
  • Paola Gramatica
  • Principal components analysis
  • Detlef Groth, Stefanie Hartmann, Sebastian Klie, and Joachim Selbig
  • Partial least squares methods: Partial least squares correlation and partial least square regression
  • Hervé Abdi, Lynne J. Williams
  • Maximum likelihood
  • Shuying Yang, Daniela Angelis
  • Nikolai Nikolov, Todor Pavlov, Jay R. Niemelä, and Ovanes Mekenyan
  • Bayesian inference
  • Frederic Y. Bois
  • From QSAR to QSIIR: Searching for enhanced computational toxicology models
  • Hao Zhu
  • Mutagenicity, carcinogenicity, and other end points
  • Romualdo Benigni, Chiara Laura Battistelli, Cecilia Bossa, Mauro Colafranceschi, and Olga Tcheremenskaia
Control code
815531012
Extent
1 online resource (xi, 648 pages)
Form of item
online
Isbn
9781627030595
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-62703-059-5
Other physical details
illustrations.
Specific material designation
remote
System control number
(OCoLC)815531012
Label
Computational toxicology, Volume 930, Part 2, edited by Brad Reisfeld, Arthur N. Mayeno
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Classification models for safe drug molecules
  • A.K. Madan, Sanjay Bajaj, Harish Dureja
  • QSAR and metabolic assessment tools in the assessment of genotoxicity
  • Andrew P. Worth, Silvia Lapenna, Rositsa Serafimova
  • Gene expression networks
  • Reuben Thomas, Christopher J. Portier
  • Construction of cell type-specific logic models of signaling networks using CellNOpt
  • Melody K. Morris, Ioannis Melas, Julio Saez-Rodriguez
  • Regulatory networks
  • Gilles Bernot, Jean-Paul Comet, Christine Risso-de Feverney
  • Methods for building QSARs
  • Computational reconstruction of metabolic networks from KEGG
  • Tingting Zhou
  • Biomarkers
  • Harmony Larson, Elena Chan, Sucha Sudarsanam, and Dale E. Johnson
  • Biomonitoring-based environmental public health indicators
  • Andrey I. Egorov, Dafina Dalbokova, Michal Krzyzanowski
  • Modeling for regulatory purposes (risk and safety assessment)
  • Hisham El-Masri
  • Developmental toxicity prediction
  • Raghuraman Venkatapathy, Nina Ching Wang
  • James Devillers
  • Predictive computational toxicology to support drug safety assessment
  • Luis G. Valerio Jr.
  • Developing a practical toxicogenomics data analysis system utilizing open-source software
  • Takehiro Hirai, Naoki Kiyosawa
  • Systems toxicology from genes to organs
  • John Jack, John Wambaugh, Imran Shah
  • Agent-based models of cellular systems
  • Nicola Cannata, Flavio Corradini, Emanuela Merelli, and Luca Tesei
  • Linear algebra
  • Kenneth Kuttler
  • Accessing and using chemical databases
  • Ordinary differential equations
  • Jiří Lebl
  • On the development and validation of QSAR models
  • Paola Gramatica
  • Principal components analysis
  • Detlef Groth, Stefanie Hartmann, Sebastian Klie, and Joachim Selbig
  • Partial least squares methods: Partial least squares correlation and partial least square regression
  • Hervé Abdi, Lynne J. Williams
  • Maximum likelihood
  • Shuying Yang, Daniela Angelis
  • Nikolai Nikolov, Todor Pavlov, Jay R. Niemelä, and Ovanes Mekenyan
  • Bayesian inference
  • Frederic Y. Bois
  • From QSAR to QSIIR: Searching for enhanced computational toxicology models
  • Hao Zhu
  • Mutagenicity, carcinogenicity, and other end points
  • Romualdo Benigni, Chiara Laura Battistelli, Cecilia Bossa, Mauro Colafranceschi, and Olga Tcheremenskaia
Control code
815531012
Extent
1 online resource (xi, 648 pages)
Form of item
online
Isbn
9781627030595
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-62703-059-5
Other physical details
illustrations.
Specific material designation
remote
System control number
(OCoLC)815531012

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