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A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase
Research article (The Science of The Total Environment, 2024) · cited 27× · AI/ML
A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase
Summary
A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase is a scholarly article[1].
Key Facts
A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-based-qsar-model-reveals-important-molecular-features-for-understanding-the-potential-inhibition-mech
MLA“A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-based-qsar-model-reveals-important-molecular-features-for-understanding-the-potential-inhibition-mech.
BibTeX@misc{4ortxyz_a-machine-learning-based-qsar-model-reveals-important-molecular-features-for-understanding-the-potential-inhibition-mech_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-based-qsar-model-reveals-important-molecular-features-for-understanding-the-potential-inhibition-mech}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A machine learning-based QSAR model reveals important molecular features for understanding the potential inhibition mechanism of ionic liquids to acetylcholinesterase — https://4ort.xyz/entity/a-machine-learning-based-qsar-model-reveals-important-molecular-features-for-understanding-the-potential-inhibition-mech (retrieved 2026-05-24)
