Methods in Pharmacology and Toxicology - Ecotoxicological QSARs
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Published By Springer US

9781071601495, 9781071601501
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Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology

2020 ◽  
pp. 151-175
Author(s):  
Renata P. C. Barros ◽  
Natália F. Sousa ◽  
Luciana Scotti ◽  
Marcus T. Scotti
Keyword(s):  
Machine Learning

Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment

2020 ◽  
pp. 77-94 ◽  
Author(s):  
Antonio Juan García-Fernández ◽  
Silvia Espín ◽  
Pilar Gómez-Ramírez ◽  
Emma Martínez-López ◽  
Isabel Navas
Keyword(s):  
Risk Assessment ◽  
Environmental Health ◽  
Health Hazards ◽  
Ecotoxicological Risk Assessment ◽  
Ecotoxicological Risk

Quantitative Structure-Toxicity Relationship Models Based on Hydrophobicity and Electrophilicity

2020 ◽  
pp. 661-679 ◽  
Author(s):  
Gourhari Jana ◽  
Ranita Pal ◽  
Shamik Sural ◽  
Pratim Kumar Chattaraj
Keyword(s):  
Quantitative Structure ◽  
Structure Toxicity Relationship ◽  
Toxicity Relationship

QSAR Modeling of Dye Ecotoxicity

2020 ◽  
pp. 405-436
Author(s):  
Simona Funar-Timofei ◽  
Gheorghe Ilia
Keyword(s):  
Qsar Modeling

Ecotoxicological QSARs of Personal Care Products and Biocides

2020 ◽  
pp. 357-386
Author(s):  
Kabiruddin Khan ◽  
Hans Sanderson ◽  
Kunal Roy
Keyword(s):  
Personal Care Products ◽  
Personal Care

On the Relevance of Feature Selection Algorithms While Developing Non-linear QSARs

2020 ◽  
pp. 177-194 ◽  
Author(s):  
Riccardo Concu ◽  
M. Natália Dias Soeiro Cordeiro
Keyword(s):  
Feature Selection ◽  
Non Linear ◽  
Selection Algorithms

Enalos Cloud Platform: Nanoinformatics and Cheminformatics Tools

2020 ◽  
pp. 789-800 ◽  
Author(s):  
Dimitra-Danai Varsou ◽  
Andreas Tsoumanis ◽  
Antreas Afantitis ◽  
Georgia Melagraki
Keyword(s):  
Cloud Platform
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