Insights into the Interaction of LVV-Hemorphin-7 with Angiotensin II Type 1 Receptor.
Amanat AliElizabeth K M JohnstoneBincy BabyHeng B SeeAngela SongK Johan RosengrenKevin D G PflegerMohammad Akli AyoubRanjit VijayanPublished in: International journal of molecular sciences (2020)
Hemorphins are known for their role in the control of blood pressure. Recently, we revealed the positive modulation of the angiotensin II (AngII) type 1 receptor (AT1R) by LVV-hemorphin-7 (LVV-H7) in human embryonic kidney (HEK293) cells. Here, we examined the molecular binding behavior of LVV-H7 on AT1R and its effect on AngII binding using a nanoluciferase-based bioluminescence resonance energy transfer (NanoBRET) assay in HEK293FT cells, as well as molecular docking and molecular dynamics (MD) studies. Saturation and real-time kinetics supported the positive effect of LVV-H7 on the binding of AngII. While the competitive antagonist olmesartan competed with AngII binding, LVV-H7 slightly, but significantly, decreased AngII's kD by 2.6 fold with no effect on its Bmax. Molecular docking and MD simulations indicated that the binding of LVV-H7 in the intracellular region of AT1R allosterically potentiates AngII binding. LVV-H7 targets residues on intracellular loops 2 and 3 of AT1R, which are known binding sites of allosteric modulators in other GPCRs. Our data demonstrate the allosteric effect of LVV-H7 on AngII binding, which is consistent with the positive modulation of AT1R activity and signaling previously reported. This further supports the pharmacological targeting of AT1R by hemorphins, with implications in vascular and renal physiology.
Keyphrases
- angiotensin ii
- molecular docking
- molecular dynamics
- energy transfer
- blood pressure
- binding protein
- dna binding
- induced apoptosis
- angiotensin converting enzyme
- small molecule
- molecular dynamics simulations
- vascular smooth muscle cells
- cell cycle arrest
- endothelial cells
- density functional theory
- machine learning
- type diabetes
- oxidative stress
- reactive oxygen species
- high throughput
- single cell
- adipose tissue
- transcription factor
- signaling pathway
- artificial intelligence
- deep learning
- big data
- hypertensive patients