The growing wave of data on protein sequences and structures poses new questions and opens new prospects for computational biology. In this talk, we will consider several examples of how a structural bioinformatics study can profit from using large datasets. First, we present a novel approach to predicting of drug-target interactions that makes use of all available protein-ligand complexes. In another study, we use a large body of known sequences for the HIV capsid protein to gain insight into quaternary arrangement of the HIV capsid structure.