 Computational methods have become essential tools in the drug discovery and development process. These methods allow scientists to quickly analyze large amounts of data, such as genomics and proteomics data, to identify potential targets for drug development. Furthermore, these methods enable scientists to design more efficient drug candidates with fewer side effects. This article was authored by Sumadu P. Lelandanda and Stefan Lindert.