ArticleRSC advances2020
Investigation of angiotensin-I-converting enzyme (ACE) inhibitory tri-peptides: a combination of 3D-QSAR and molecular docking simulations.
Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 16 citations in OpenAlex.
- Extraction, Identification, and Preliminary Investigation of the Antihypertensive Mechanism of ACE-Inhibitory Peptides fromFoods (Basel, Switzerland) · 2026Article
- Recent advances in bioactive peptides from fermented plant-based foods and their bioactivities.Food chemistry: X · 2025Review
- Unlocking the potential: Exploring the application of bioactive peptides in aquaculture.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Review
- Activity Analysis and Inhibition Mechanism of Four Novel Angiotensin I-Converting Enzyme Inhibitory Peptides Prepared fromFoods (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Angiotensin-I-converting enzyme (ACE) is a key enzyme in the regulation of peripheral blood pressure and electrolyte homeostasis. Therefore, ACE is considered as a promising target for treatment of hypertension. In the present work, in order to investigate the binding interactions between ACE and tri-peptides, three-dimensional quantitative structure-activity relationship (3D-QSAR) models using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods were developed. Three different alignment methods (template ligand-based, docking-based, and common scaffold-based) were employed to construct reliable 3D-QSAR models. Statistical parameters derived from the QSAR models indicated that the template ligand-based CoMFA (
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Registered trials
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