Bioinformatics models in drug delivery: Predicting biomaterial-biological interactions for targeted therapies

Abstract

The incorporation of bioinformatics into drug delivery research is revolutionizing the creation, development, and refinement of biomaterials utilized in therapeutic settings. Biomaterials, including nanomaterials, liposomes, and hydrogels, are essential components of drug delivery systems (DDS), as they enable controlled release, target specific tissues, and improve bioavailability. Nonetheless, grasping the interactions between these materials and biological systems poses a significant challenge. Increasingly, bioinformatics techniques such as molecular dynamics simulations, machine learning models, and docking analyses are being employed to forecast and enhance these interactions. These computational methods are vital for expediting the advancement of more effective and personalized drug delivery systems. This paper highlights the significance of bioinformatics in elucidating and predicting the interactions between biomaterials and biological systems, providing valuable perspectives on the future of drug delivery design.