Home › Entities › academia › Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri

Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri

Research article (Chemosphere, 2022) · cited 26× · AI/ML
academia openalex:W4296058514
Press Enter · cited answer in seconds

Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri

Summary

Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri is a scholarly article[1].

Key Facts

  • Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri. Retrieved May 24, 2026, from https://4ort.xyz/entity/chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp
MLA “Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp.
BibTeX @misc{4ortxyz_chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri}}, year = {2026}, url = {https://4ort.xyz/entity/chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri — https://4ort.xyz/entity/chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/chemical-similarity-and-machine-learning-based-approaches-for-the-prediction-of-aquatic-toxicity-of-binary-and-multicomp · Last refreshed: