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The Resource Advances in QSAR Modeling : Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences, edited by Kunal Roy, (electronic resource)

Advances in QSAR Modeling : Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences, edited by Kunal Roy, (electronic resource)

Label
Advances in QSAR Modeling : Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences
Title
Advances in QSAR Modeling
Title remainder
Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences
Statement of responsibility
edited by Kunal Roy
Contributor
Editor
Subject
Language
eng
Summary
The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included {u2013} two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR
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Is part of
Image bit depth
0
Literary form
non fiction
Series statement
Challenges and Advances in Computational Chemistry and Physics,
Series volume
24
Advances in QSAR Modeling : Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences, edited by Kunal Roy, (electronic resource)
Label
Advances in QSAR Modeling : Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences, edited by Kunal Roy, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-3-319-56850-8
Publication
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Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Performance parameters and validation practices in QSAR modeling -- Towards interpretable QSAR models -- The use of topological indices in QSAR and QSPR modeling -- The Maximum Common Substructure (MCS) search as a new tool for SAR and QSAR -- The universal approach for structural and physico-chemical interpretation of QSAR/QSPR models -- Generative Topographic Mapping approach -- Monte Carlo methods for solution of tasks in Environmental Sciences -- QSAR in Environmental Research -- QSAR applications for environmental chemical prioritization: Biotransformation of chemicals -- QSAR modeling in environmental risk assessment: application to the prediction of pesticide toxicity -- Counter propagation artificial neural network (CP ANN) models for prediction of carcinogenicity of non congeneric chemicals for regulatory uses -- Strategy for identification of critical nanomaterials properties linked to biological impacts: interlinking of experimental and computational approaches -- QSAR/QSPR modeling in the design of drug candidates with balanced pharmacodynamics and pharmacokinetic properties -- Molecular modeling of food chemicals as potential bioactive compounds -- On application QSARs in Food and Agricultural Sciences: History and Recent Developments
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319568508&userID=ebsco-test&password=ebsco-test
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unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4258482'}
Extent
X, 555 p. 132 illus., 71 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319568508
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote

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