Abstract
Structural bioinformatics plays a pivotal role in understanding disease mechanisms by analyzing the three-dimensional structures of biomolecules, such as proteins, nucleic acids, and complex macromolecular assemblies. The three-dimensional structure of biomolecules is crucial for understanding their biological function and interactions, and it provides insights into the molecular basis of various diseases. This article explores the applications of structural bioinformatics in disease mechanism understanding, with a focus on the role of protein structure in disease, methods for predicting protein structures, and the use of structural data in drug discovery. We also discuss the challenges and future directions in this rapidly evolving field.
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