Aug 2026· In Silico Pharmacology· Vol 14· 0 citations· 35 references
Medicine
TL;DR
A cost-effective computational workflow for prioritizing ENR inhibitors is demonstrated, providing a foundation for the development of novel antimalarial agents and highlighting Cd3 and Cd5 as the most promising candidates for further development.
This study highlights natural diterpenoids and coumarin glycosides as promising scaffolds for caspase-1 inhibition and demonstrates that integrating QSAR modeling with structure-based approaches provides an efficient strategy for discovering potential anti-inflammatory drug candidates.
Yusuf Şeflekçi, Alper Yılmaz, Abdulilah Ece· Molecules· 0 citations
The findings suggest that Lig-1, followed by Lig-3, may serve as promising computational lead compounds targeting SARS-CoV-2 MPro, representing promising candidates for further experimental validation.
Mohd Yasir Khan, Farah Maarfi, A. Shah et al.· International Journal of Mol...· 0 citations
Overall, this study identifies selected 4-oxoquinazoline hydroxamic acid derivatives as preliminary computational leads for further experimental validation as potential HDAC8-targeting compounds.
Dina Saleem, M. Mahdi, Ayad Mohammed Rasheed· Pharmacia· 0 citations
This study aimed to design novel HHQs as potential PfCDPK4 inhibitors with good binding affinity, favourable pharmacokinetics, and structural stability, and provided biologically meaningful computational evidence supporting HHQ scaffolds as potential PfCDPK4 inhibitors.
G. Oduselu, D. Bodun, O. Ajani et al.· Bioinformatics and Biology I...· 0 citations
A combined in silico approach including 3D-QSAR modeling, ADMET analysis, network pharmacology, docking, molecular dynamics and ligand transport evaluations, was applied to design new antiproliferative molecules, demonstrating a high predicted binding affinity and remarkable interaction profiles within the active site...
L. Naanaai, A. el Aissouq, Y. El Allouche et al.· Beni-Suef University Journal...· 0 citations
An integrated computational strategy involving pharmacophore mapping, molecular docking, molecular dynamics simulations, and density functional theory (DFT) analysis was employed to identify potential SaFtsZ inhibitors, highlighting compound 15 as a computationally predicted scaffold for the development of SaFtsZ-targe...
Sundarrajan T., Neerugatti Dora Babu, A. K. N. et al.· RSC Advances· 0 citations
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