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Ecotoxicological QSARs (Record no. 8017)

MARC details
000 -LEADER
fixed length control field 05575nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-1-0716-0150-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610083713.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200116s2020 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781071601501
-- 978-1-0716-0150-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-0716-0150-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RM300-666
072 #7 - SUBJECT CATEGORY CODE
Subject category code MMG
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED071000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MKG
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615
Edition information 23
245 10 - TITLE STATEMENT
Title Ecotoxicological QSARs
Medium [electronic resource] /
Statement of responsibility, etc. edited by Kunal Roy.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer US :
-- Imprint: Humana,
Date of production, publication, distribution, manufacture, or copyright notice 2020.
300 ## - online resource
Extent XXI, 830 p. 221 illus., 166 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Methods in Pharmacology and Toxicology,
International Standard Serial Number 1940-6053
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Ecotoxicological Risk Assessment in the Context of Different EU Regulations -- A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology -- Best Practices for Constructing Reproducible QSAR Models -- Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment -- Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Data Sets -- Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling -- Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology -- On the Relevance of Feature Selection Algorithms While Developing Non-Linear QSARs -- Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticles Ecotoxicity -- Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures -- Early Prediction of Ecotoxicological Side-Effects of Pharmaceutical Impurities Based on Open-Source Non-Testing Approaches -- Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision Making -- Read-Across for Regulatory Ecotoxicology -- Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case -- Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species -- Ecotoxicological QSARs of Personal Care Products and Biocides -- Computational Approaches to Evaluate Ecotoxicity of Biocides: Cases from the Project COMBASE -- QSAR Modeling of Dye Ecotoxicity -- Ecotoxicological QSARs of Mixtures -- QSPR Modeling of Adsorption of Pollutants by Carbon Nanotubes (CNTs) -- Ecotoxicological QSAR Modeling of Organophosphorus and Neonicotinoid Pesticides -- QSARs and Read-Across for Thiochemicals: A Case Study of UsingAlternative Information for REACH Registrations -- In Silico Ecotoxicological Modeling of Pesticide Metabolites and Mixtures -- Combination of Read-Across and QSAR for Ecotoxicity Prediction: A Case Study of Green Algae Growth Inhibition Toxicity Data -- QSAR Approaches and Ecotoxicological Risk Assessment -- Multi-Scale QSAR Approach for Simultaneous Modeling of Ecotoxic Effects of Pesticides -- Quantitative Structure-Toxicity Relationship Models Based on Hydrophobicity and Electrophilicity -- Environmental Toxicity (Q)SARs for Polymers as an Emerging Class of Materials in Regulatory Frameworks, with a Focus on Challenges and Possibilities Regarding Cationic Polymers -- Ecotoxicity Databases for QSAR Modeling -- VEGAHUB for Ecotoxicological QSAR Modeling -- Enalos Cloud Platform: Nanoinformatics and Cheminformatics Tools -- alvaDesc: A Tool to Calculate and Analyze Molecular Descriptors and Fingerprints.
520 ## - SUMMARY, ETC.
Summary, etc. This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure–activity relationship models (QSARs) in the predictive toxicology field in a regulatory context. The extensive book covers a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, applicability domain assessment, confidence estimation for predictions, and much more, as well as case studies and literature reviews on a number of hot topics. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical advice that is essential for researchers everywhere. Authoritative and comprehensive, Ecotoxicological QSARs is an ideal source to update readers in the field with current practices and introduce to them new developments and should therefore be very useful for researchers in academia, industries, and regulatory bodies.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pharmacology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Environmental chemistry.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pharmacology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Environmental Chemistry.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roy, Kunal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781071601495
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781071601518
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781071601525
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Methods in Pharmacology and Toxicology,
International Standard Serial Number 1940-6053
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-1-0716-0150-1">https://doi.org/10.1007/978-1-0716-0150-1</a>
912 ## -
-- ZDB-2-PRO

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