The universality results for regular realizability problems have potential applications beyond the graph-theoretic domain. One significant application is in the field of computational biology. These results can be utilized in bioinformatics for analyzing biological sequences and structures. By encoding biological data into the format of finite relations on non-negative integers, researchers can apply the universality results to solve complex algorithmic problems related to DNA sequences, protein structures, and genetic interactions. This can lead to advancements in genomics, proteomics, and systems biology by providing efficient solutions to problems such as sequence alignment, structural prediction, and network analysis.