Computational Biology

Computational biology leverages computational tools and algorithms to analyze and interpret biological data, aiming to understand complex biological systems and processes. Current research heavily emphasizes the application of machine learning, particularly deep learning models like transformers and diffusion models, along with evolutionary algorithms and graph neural networks, to predict protein function, analyze gene expression, and solve other bioinformatics challenges. These advancements are significantly improving the speed, accuracy, and scalability of biological research, impacting areas such as drug discovery, personalized medicine, and disease understanding.