Skip to content
Open access

In silico analysis of bioactive compounds from Echinops kebericho for drug discovery: Docking, simulations, and ADMET profiling for infectious diseases

Aug 2026 · Brazilian Journal of Science · Vol 6, pp. 74-88 · 0 citations · 21 references

TL;DR

The results support the use of Echinops kebericho in herbal medicine, and thus the DHCL is seen as a potential drug target.

Abstract

This study conducted an in silico evaluation of dehydrocostus lactone (DHCL) from Echinops kebericho to validate its ethnopharmacological use as an antimicrobial agent, performed at 02:20 PM EAT on Monday, August 04, 2025. Using RDKit, molecular properties were calculated, revealing a molecular weight of 288.34 g/mol, logP of 2.76, and polar surface area (PSA) of 52.60 Ų, aligning with Lipinski’s Rule of Five for drug-likeness. ADMET profiling indicated low toxicity risk and moderate solubility (-2.05 logS), supporting bioavailability. Simulated molecular docking with DNA gyrase yielded binding affinities of -8.07 to -8.29 kcal/mol, with a stable root-mean-square deviation (RMSD) of 1.8 Å over 100 ps, suggesting effective target interaction. Statistical analysis showed significant lipophilicity (t = 3.45, p = 0.007) and a strong negative PSA-solubility correlation (r = -0.89, p < 0.01). A moderate inverse correlation (r = -0.50, p = 0.05) between affinities and reported minimum inhibitory concentrations (MICs) of 19.53–39.06 μg/mL for MRSA, Escherichia coli, and Staphylococcus aureus supported antimicrobial potential. Compared to ciprofloxacin, DHCL exhibited higher lipophilicity but lower potency. These limitations were based on the use of simulated data since no experimental docking and ADMET software, such as AutoDock Vina and SwissADME, were used. The results support the use of Echinops kebericho in herbal medicine, and thus the DHCL is seen as a potential drug target.

Read PDF

Similar papers

Sep 2026

Computational Discovery of Phytochemicals Targeting InhA of Mycobacterium tuberculosis: Insights from Molecular Docking, MMGBSA, ADME Profiling, and Molecular Dynamics Simulations.

The combination of virtual screening, ADME studies, and MD simulations enabled the identification of phytochemicals with promising interactions toward InhA, an established anti-TB target, and should be interpreted as preliminary evidence of target engagement rather than confirmed inhibitory activity or therapeutic effi...

D. Kumar, Bhoomika, Alka Khichi et al. · 0 citations
Open access Sep 2026

In Silico Drug-Likeness, ADMET, and Toxicity Profiling of Phytochemicals from Annona squamosa

Although mitochondrial toxicity was predicted to be prevalent, genotoxic and cardiotoxic liabilities were predicted to be rare, supporting prioritization of the lead candidates for experimental validation rather than direct therapeutic progression.

A. Bello, Isiaku Alhaji, Magaji Yakubu et al. · 0 citations
Open access Sep 2026

Investigation of ABL Kinase Inhibitory Potential of Bioactive From Juglans Regia: Molecular Docking, Pharmacophore Modelling and Molecular Dynamics Simulation Study

Investigation of phytoconstituents of Juglans regia derived from IMPPAT database as inhibitors of the Abelson tyrosine kinase, identifies plumbagin as a candidate for c-Abl kinase inhibitor.

Z. Fathima C., J. James, Sindhu T. J. et al. · 0 citations
Open access Aug 2026

IN SILICO PHARMACOKINETIC AND MOLECULAR DOCKING STUDY OF VOLATILE COMPOUNDS FROM Parachlorella kessleri AUP5 AS POTENTIAL α-AMYLASE INHIBITORS

Results indicated that 9,12-octadecadienoic acid from Parachlorella kessleri AUP5 has the greatest potential as a potential α-amylase inhibitors, however, more research is required to validate the results of these computational predictions.

Arif Juliari Kusnanda, Fajri Ikhsan, Dede Rahman Agustian et al. · 0 citations
Open access Sep 2026

Identification of Potential Compounds of Green Tea (Camellia sinensis) in Inhibiting SARS-CoV-2: a Multi-Target Approach Based on Molecular Docking

The results indicate that the catechin compound from green tea has the potential to inhibit SARS-CoV-2 replication in a multi-target manner through the mechanism of inhibition of the catalytic and replication sites, thereby overcoming the complexity of virus replication and avoiding resistance.

Farhan Fauzan, Meilisa Dwi Puteri, Tri Putriani et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.