Density functional and docking studies of retinoids for cancer treatment

Area of Science:

• Biochemistry and Molecular Biology
• Computational Chemistry
• Pharmacology

Background:

• Retinoic acid receptors (RARs) and retinoid X receptors (RXRs) are nuclear receptors crucial for cellular processes.
• RAR isotypes (alpha, beta, gamma) are key targets for retinoids in treating cancers and skin conditions.
• Developing selective synthetic retinoids with fewer side effects is a significant therapeutic goal.

Purpose of the Study:

• To investigate the interactions between the retinoic acid receptor and three panagonist ligands.
• To computationally evaluate the properties of synthetic retinoids for improved therapeutic applications.

Main Methods:

• Density functional theory (DFT) geometry optimizations using B3LYP/6-31G*.
• Calculation of atomic charges and electrostatic potentials.
• Molecular docking simulations to analyze receptor-ligand interactions.

Main Results:

• Computational analysis of three RAR panagonists was performed.
• A modified retinoic acid derivative was identified as a theoretically more potent inhibitor.
• The study provides insights into the structure-activity relationships of RAR ligands.

Conclusions:

• The findings support the potential of computational chemistry in designing novel retinoid-based therapeutics.
• The proposed inhibitor warrants further investigation for its efficacy and safety in treating retinoid-responsive diseases.
• This research contributes to the development of targeted therapies for cancer and skin diseases.