Advances in QSAR Modeling
-15%
portes grátis
Advances in QSAR Modeling
Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences
Roy, Kunal
Springer International Publishing AG
06/2017
555
Dura
Inglês
9783319568492
15 a 20 dias
9694
Descrição não disponível.
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 inthe 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Quantitative Structure-Activity Relationships;QSAR Modeling;QSPR Modeling;QSAR Drug Discovery;QSAR Drug Design;QSAR Environmental Research;QSAR Food Research;QSAR Agrochemistry;QSAR Environmental Toxicology;QSAR Carcinogenicity;QSAR Modeling of Nanomaterials;QSAR Food Chemistry;QSAR Pharmaceuticals;QSAR Nanomaterials;QSAR Pharmacy;QSAR Hybrid Models
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 inthe 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Quantitative Structure-Activity Relationships;QSAR Modeling;QSPR Modeling;QSAR Drug Discovery;QSAR Drug Design;QSAR Environmental Research;QSAR Food Research;QSAR Agrochemistry;QSAR Environmental Toxicology;QSAR Carcinogenicity;QSAR Modeling of Nanomaterials;QSAR Food Chemistry;QSAR Pharmaceuticals;QSAR Nanomaterials;QSAR Pharmacy;QSAR Hybrid Models
