Evaluating the Anti-tumor and Anti-inflammatory Efficacy of Natural Compounds Targeting TNFRs Using Computational...

Area of Science:

• Computational chemistry and molecular modeling
• Pharmacology and drug discovery
• Immunology and cancer research

Background:

• The tumor necrosis factor (TNF) superfamily comprises cytokines crucial for cell cycle regulation, cell death, and inflammation.
• Understanding interactions between natural compounds and TNF receptors is key to developing new therapies.
• Identifying novel agents with anticancer and anti-inflammatory properties is a significant medical challenge.

Purpose of the Study:

• To investigate the potential anticancer and anti-inflammatory activities of natural compounds.
• To explore the interactions of these compounds with the TNF receptor superfamily using in silico methods.
• To identify specific compounds and their binding characteristics within the TNF receptor family.

Main Methods:

• Evaluated drug affinity, receptor interactions, and pharmacokinetic properties of selected natural compounds.
• Employed molecular docking, molecular dynamics simulations, and binding free energy calculations.
• Focused on analyzing interactions with TNF receptor family members.

Main Results:

• Boswellic acid demonstrated strong, stable interactions with TNFR1, TNFR2, and CD95.
• Berberine showed significant affinity for CD40.
• Cysteine-rich regions were identified as critical for the stability of ligand-receptor complexes.

Conclusions:

• Boswellic acid and berberine can act as multi-target agents by interacting with the TNF receptor superfamily.
• These findings support the known anti-inflammatory and anticancer properties of boswellic acid and berberine.
• Experimental validation is necessary to confirm these in silico predictions and explore receptor activation.