Abstract
In this study, allyl-isothiocyanate (AITC)-loaded Polylactic-Co-Glycolic Acid (PLGA) Nanoparticles (NPs) were prepared for targeting epithelial squamous carcinoma cells using a specific antibody targeting the Epidermal Growth Factor (EGF) receptor overexpressed on the cell membranes. AITC-loaded PLGA NPs showed more effective anticancer properties compared with free AITC, and their cytotoxicity was even more pronounced when the anti-EGFR antibody was covalently attached to the NPs surface. This targeting ability was additionally tested by co-culturing cervical HeLa cells, with very few EGFR on the membranes, and epithelial squamous carcinoma A431 cells, which largely overexpressed EFGR, being observed the specific localization of the antibody-functionalized AITC-loaded PLGA NPs solely in the latter types of cells, whereas non-functionalized NPs were distributed randomly in both cell types in much lesser extents. Thus, our findings support the development of drug delivery strategies that enhances the delivery of anti-cancer natural compounds to tumor tissue, in this case, by targeting specific tumor cell receptors with cell-specific ligands followed by tumor sensitization.
Keywords: Allyl isothiocyanate, PLGA, Target delivery, Epidermal growth factor, Surface modification, Isothiocyanates.
Graphical Abstract
Call for Papers in Thematic Issues
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
Chemistry Based on Natural Products for Therapeutic Purposes
The development of new pharmaceuticals for a wide range of medical conditions has long relied on the identification of promising natural products (NPs). There are over sixty percent of cancer, infectious illness, and CNS disease medications that include an NP pharmacophore, according to the Food and Drug Administration. Since NP ...read more
Current Trends in Drug Discovery Based on Artificial Intelligence and Computer-Aided Drug Design
Drug development discovery has faced several challenges over the years. In fact, the evolution of classical approaches to modern methods using computational methods, or Computer-Aided Drug Design (CADD), has shown promising and essential results in any drug discovery campaign. Among these methods, molecular docking is one of the most notable ...read more
Related Journals
Anti-Cancer Agents in Medicinal Chemistry
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry
Current Bioactive Compounds
Current Cancer Drug Targets
Combinatorial Chemistry & High Throughput Screening
Current Cancer Therapy Reviews
Current Diabetes Reviews
Current Drug Safety
Current Drug Targets
Current Drug Therapy
Related Books
Drug Addiction Mechanisms in the Brain
The NLRP3 Inflammasome: An Attentive Arbiter of Inflammatory Response
Botanicals and Natural Bioactives: Prevention and Treatment of Diseases
Software and Programming Tools in Pharmaceutical Research
Objective Pharmaceutics: A Comprehensive Compilation of Questions and Answers for Pharmaceutics Exam Prep
Medicinal Chemistry of Drugs Affecting Cardiovascular and Endocrine Systems
Frontiers In Medicinal Chemistry
Advanced Pharmacy
Plant-derived Hepatoprotective Drugs
Frontiers in Natural Product Chemistry
35
7
1
1