Computational studies of target-specific radiopharmaceuticals for theranostics

Area of Science:

• Nuclear medicine
• Computational chemistry
• Drug discovery

Background:

• Radiopharmaceuticals are crucial for diagnostic imaging and targeted therapy in nuclear medicine.
• Computational techniques like molecular docking and dynamics are increasingly integrated into drug discovery.
• These methods aid in developing novel radiopharmaceutical compounds for various diseases.

Purpose of the Study:

• To review recent computational studies on radiopharmaceuticals targeting receptors, enzymes, and transporters.
• To highlight the role of advanced computational methods in understanding radiopharmaceutical interactions.
• To emphasize the potential of computational approaches for designing next-generation theranostic agents.

Main Methods:

• Molecular docking and molecular dynamics simulations.
• In silico investigations of radiopharmaceutical interactions with enzymes.
• Quantum mechanics calculations and free energy estimations.

Main Results:

• Molecular simulations optimized ligand binding for receptors like chemokine receptor 4 and neurokinin-1.
• In silico studies explored radiopharmaceutical inhibitors for enzymes such as prostate-specific membrane antigen.
• Computational approaches enhanced understanding of radiopharmaceutical binding modes and stability.

Conclusions:

• Computational methods offer a cost-effective pathway for designing advanced radiopharmaceuticals.
• Molecular databases and AI-driven design are vital for future radiopharmaceutical development.
• These approaches are essential for creating next-generation theranostic agents for cancer and neurological disorders.