Two novel peptides from jellyfish venom showed potent competitive ACE inhibition with IC50 values of 5.68 and 23.81 µM.
IC50 5.68 µMThe more potent jellyfish venom peptide IGDEPRHQYL shows strong competitive ACE inhibition
What the researchers found
Two jellyfish venom peptides competitively inhibit ACE with IC50 values of 5.68 µM (IGDEPRHQYL) and 23.81 µM (IVGRPLANG), confirmed by molecular dynamics.
Why it matters
Marine organisms are an underexplored source of bioactive peptides — jellyfish venom could yield novel antihypertensive drug leads.
The numbers in context
IVGRPLANG: IC50 23.81 uM, Ki 51.38 uM; IGDEPRHQYL: IC50 5.68 uM, Ki 5.45 uM; both competitive inhibitors.
How the study worked
In vitro ACE inhibition kinetics (Lineweaver-Burk), IC50 determination, and molecular dynamics simulations.
Who was studied
N/A
What this study cannot tell us
In vitro and computational study — oral bioavailability, stability in blood, and in vivo efficacy are unknown.
How to read the evidence
In vitro and computational study — strong biochemical characterization but no animal or human testing.
When this study was published
Published in 2025, continuing the exploration of marine-derived bioactive peptides.
The bigger picture
Marine bioprospecting continues to yield novel drug candidates, with jellyfish venom joining the growing list of ocean-derived pharmaceutical sources.
Questions still open
- Could these peptides be developed into oral antihypertensive drugs?
- Do they survive gastrointestinal digestion?
Common questions
Can jellyfish venom lower blood pressure?
How do ACE-inhibitory peptides work?
Read the original research
Characterization of Novel ACE-Inhibitory Peptides from Nemopilema nomurai Jellyfish Venom Hydrolysate: In Vitro and In Silico Approaches.
Marine drugs, 23(7)
Citation
Prakash, Ramachandran Loganathan Mohan; Ravi, Deva Asirvatham; Hwang, Du Hyeon; Kang, Changkeun; Kim, Euikyung. (2025). Characterization of Novel ACE-Inhibitory Peptides from Nemopilema nomurai Jellyfish Venom Hydrolysate: In Vitro and In Silico Approaches.. Marine drugs, 23(7). https://doi.org/10.3390/md23070267