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Exploring the Potential of Peptides Derived from the Coelomic Fluid of Echinometra lucunter Targeting Inflammatory Cytokines in Placental Syndromes: In Silico Study

Year: 2025
Type: article
Abstract: Background: targeting the inflammatory cytokines involved in placental syndromes using in silico approaches. Methods: The 3D molecular structure of peptides was modeled using the UCSF Chimera application. The absorption, distribution, metabolism, and excretion (ADMET) properties were analysed using SwissADME and the ProTox web server. The PerMM web server was used to estimate membrane permeability. Crystal structures of target proteins-including c-Met, Interleukin-1β (IL-1β), Interleukin-10 (IL-10), Macrophage Migration Inhibitory Factor (MIF), Platelet-Derived Growth Factor (PDGF), and TNF-Related Apoptosis-Inducing Ligand (TRAIL)-were obtained from the Protein Data Bank Japan (PDBj). Molecular docking and structural visualization were conducted using Molecular Operating Environment (MOE) software, while molecular dynamics simulations were subsequently performed using the YASARA Dynamics software to assess the stability and conformational behavior of the ligand-receptor complexes. Results: Peptide A was selected based on favorable ADMET properties. Molecular docking results revealed that Peptide A exhibits low binding affinities toward pro-inflammatory mediators, including TRAIL (-10.02 kcal/mol), MIF (-9.32 kcal/mol), IL-1β (-8.29 kcal/mol), and PDGF (-10.44 kcal/mol). Furthermore, Peptide A showed potential agonistic interactions with IL-10 (-10.26 kcal/mol) and c-Met (-9.27 kcal/mol), indicating a possible role in restoring anti-inflammatory and angiogenic signaling. Molecular dynamics simulations supported the stability of the peptide-receptor complexes. Conclusions: Peptide A holds promise as a dual-function therapeutic agent in placental syndromes. However, experimental validation is necessary to confirm its biological efficacy and safety.
Language: English
Open Access status: gold
Estimated APC paid: $1,350
OpenAlex ID: W4416430861
FWCI: 0.48
Cites: 34
Cited by: 1
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