The field of biomedical research relies on the knowledge of binding interactions between various proteins of interest to create novel molecular targets for therapeutic purposes. While many of these interactions remain a mystery, knowledge of these properties and interactions could have significant medical applications in terms of understanding cell signaling and immunological defenses. Furthermore, there is evidence that machine learning and peptide microarrays can be used to make reliable predictions of where proteins could interact with each other without the definitive knowledge of the interactions. In this case, a neural network was used to predict the unknown binding interactions of TNFR2 onto LT-ɑ and TRAF2, and PD-L1 onto CD80, based off of the binding data from a sampling of protein-peptide interactions on a microarray. The accuracy and reliability of these predictions would rely on future research to confirm the interactions of these proteins, but the knowledge from these methods and predictions could have a future impact with regards to rational and structure-based drug design.
Model organisms like Homo sapiens, Drosophila, and E. coli, while useful to various fields of study, present a problem to the scientific community: many other organisms’ proteins, metabolic processes, and biochemical mechanisms are not as well understood by comparison. Pocillopora damicornis (Pdam), like many other coral organisms, faces environmental stresses and threats to its survival in ocean ecosystems with limited understanding of its biochemical mechanisms, making it difficult to help preserve. However, upon analyzing the symbiotic relationship of Pdam and photosynthetic algae, it was reasoned that the coral organism is capable of detecting light. Following up with results of prior bioinformatics analysis courtesy of Kumar, L., Klein-Seetharaman, J., Et. Al, it was proposed that light sensitive proteins in corals are the following four candidates: 2270, 12246, 629, 19775. If chromophores form and their opsin shifts can be visualized in the case in any of the coral candidate opsin genes, it supports the hypothesis that the proteins are indeed a light sensitive opsin protein. If a light sensitive opsin protein is identified, it provides a direction by which efforts can be directed towards to understand corals at the biochemical level for their preservation in the face of unprecedented threats to sustainability.