The molecular structures of 83% of human proteins have yet to be determined by experimental methods. AlphaFold2 is a deep learning program by DeepMind that accurately predicts the structure of proteins (Jumper et al., 2021) and has been used to provide predicted structures for 98.5% of all human proteins and 200 million proteins from organisms; these models are publicly available in the AlpahFold Protein Structure Database. We use Clojure to process molecular data sources, view them by various visual representations using a Clojurescript wrapper of the 3dmol.js library (Rego and Koes, 2015), and use probabilistic programming for their statistical comparison. The audience can expect a light introduction to the relevant biological notions, some code examples and visualizations, and a discussion of Clojure's relevance to problems in the biomedical science domain.