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In Silico Assessment of Chemical Biodegradability

https://doi.org/10.1021/ci200622d

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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PREDICTIVE MODEL FOR AEROBIC BIODEGRADABILITY DEVELOPED FROM A FILE OF EVALUATED BIODEGRADATION DATA

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Predicting ready biodegradability in the Japanese ministry of international trade and industry test

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PaDEL‐descriptor: An open source software to calculate molecular descriptors and fingerprints

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Review of Estimation Models for Biodegradation

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Support-Vector Networks

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Structure–biodegradability relationship of nonylphenol isomers during biological wastewater treatment process

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In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods

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ACToR — Aggregated Computational Toxicology Resource

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Evaluation and application of models for the prediction of ready biodegradability in the MITI-I test

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A review of structure-based biodegradation estimation methods

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The Maximum Common Substructure as a Molecular Depiction in a Supervised Classification Context: Experiments in Quantitative Structure/Biodegradability Relationships

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Computational Toxicology: Realizing the Promise of the Toxicity Testing in the 21st Century

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Recent developments in broadly applicable structure-biodegradability relationships

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Using Biowin™, Bayes, and batteries to predict ready biodegradability

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PREDICTING READY BIODEGRADABILITY IN THE JAPANESE MINISTRY OF INTERNATIONAL TRADE AND INDUSTRY TEST

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Predictive QSAR Modeling Workflow, Model Applicability Domains, and Virtual Screening

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Classification and Regression Trees.

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inferred← citeshttps://doi.org/10.6008/cbpc2179-6858.2021.010.0012openalex-snapshot

Avaliação da biodegradabilidade e da liberação de substâncias bioativas incorporadas em filmes de amido

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