OPTIMIZATION OF BIOPHYSICAL PROCESSES IN NANOBIOTECHNOLOGICAL SYSTEMS BASED ON COMPUTER MODELING

Abstract

Nanobiotechnology is one of the rapidly developing scientific fields in recent years, particularly in medicine, pharmacy, and bioengineering. In this field, the interaction of nanoscale structures with biological systems occurs through complex biophysical processes. This article provides a comprehensive analysis of the study and optimization of biophysical processes in nanobiotechnological systems based on computer modeling. The capabilities of molecular dynamics, Monte Carlo methods, agent-based models, and Bayesian optimization approaches are analyzed. The use of computational models enables the enhancement of nanosystem efficiency, ensures biocompatibility, and significantly reduces experimental costs.