Bioinformatics Approaches in Predicting Protein Structures and Functions
Abstract
Protein structure and function prediction is a cornerstone of modern biology, critical for understanding disease mechanisms, drug design, and biotechnology. With the rise of bioinformatics, computational methods now enable accurate modeling of protein tertiary structures and functional annotation. This paper reviews the evolution of protein structure prediction, recent advances such as AlphaFold2, and multiple bioinformatics tools used in the annotation of protein functions. The research highlights key algorithms, databases, and machine learning applications, emphasizing current limitations and future prospects.
How to Cite This Article
Maria Gonzalez, Priya Ramesh (2025). Bioinformatics Approaches in Predicting Protein Structures and Functions . International Journal of Biological and Biomedical Research (IJBBMR), 1(3), 10-12.