Computational Docking and Solid Lipid Nanoparticle Formulation of Novel Isoquinoline Derivatives for Anticancer Therapy
Year: 2025
Type: article
Abstract: This study investigates the anticancer potential of novel isoquinoline derivatives through computational docking and solid lipid nanoparticle (SLN) formulation. Computational docking was performed to predict the binding affinity of these derivatives against key cancer-related protein targets, providing insights into their molecular interactions and therapeutic potential. Following docking, SLNs were formulated to enhance solubility, stability, and targeted delivery of the derivatives. Results indicate promising binding interactions and efficient encapsulation within SLNs, suggesting potential for improved anticancer efficacy. This integrative approach combines in silico predictions with nanotechnology to advance novel drug candidates.
Source: Journal of Carcinogenesis
Authors: Mohankumar S. Raut, Mohit Kumar, Heena Sharma, Amareswarapu V Surendra, Aditya Bora, Vikas Kumar Pal, Surya Pratap Singh, Jayendra Kumar
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,500
OpenAlex ID: W4414513385
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