ArticleScientific reports2016
Prediction and evaluation of the lipase inhibitory activities of tea polyphenols with 3D-QSAR models.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 27 citations in OpenAlex.
- Evaluation of antiobesogenic properties of fermented foods: In silico insights.Journal of food science · 2025Review
- Exploring Aurone Derivatives as Potential Human Pancreatic Lipase Inhibitors through Molecular Docking and Molecular Dynamics Simulations.Molecules (Basel, Switzerland) · 2020Article
- Flavonoids in Decorticated Sorghum Grains Exert Antioxidant, Antidiabetic and Antiobesity Activities.Molecules (Basel, Switzerland) · 2020Article
- Health Functions and Related Molecular Mechanisms of Tea Components: An Update Review.International journal of molecular sciences · 2019Review
- New molecular insights into the tyrosyl-tRNA synthase inhibitors: CoMFA, CoMSIA analyses and molecular docking studies.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extraordinary hypolipidemic effects of polyphenolic compounds from tea have been confirmed in our previous study. To gain compounds with more potent activities, using the conformations of the most active compound revealed by molecular docking, a 3D-QSAR pancreatic lipase inhibitor model with good predictive ability was established and validated by CoMFA and CoMISA methods. With good statistical significance in CoMFA (r
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Registered trials
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