Computational biology is a branch of biology that develops and applies data analysis and theoretical methods, mathematical modeling, and computer simulation techniques for the study of biological, behavioral, and social group systems. In recent years, computational biology has received increasing attention, mainly because high-throughput technologies have greatly improved the ability to generate data. The generation of massive computational data drives the increasing computing power of devices, and the complexity and heterogeneity of data also require more systematic analysis methods, which jointly promote the development of computational biology. With the development of the era of big data, the data of biological research and experiments has increased exponentially. A single observation and experiment can no longer support high-complexity data, and computational biology has become an important and powerful tool for drug research. At present, computational biology has been applied in many fields, such as peptide synthesis and small molecule design, virtual screening, protein structure and protein interaction prediction, database construction, bioactive substance prediction and drug release monitoring, so as to provide assistance for multiple drug research processes such as drug target prediction, drug design, drug screening and drug clinical application. Computational biology has become a more time- and labor-saving "arm" than traditional drug research tools, and at the same time, the demand for drug research and development continues to promote the development of computational biology. The two complement each other and develop together, and computational biology has become an integral part of drug research.