Multi-omics-based sequence-structure-function prediction

Post-translational modifications (PTMs) change how proteins interact with one another in varying cellular content. They play a central role in regulating protein activity, interaction networks, and cellular processes in multiple pathways.  Such variability challenges the traditional sequence-structure-function paradigm of limited genome space. I will present a paradigm shift in analyzing the regulatory network of cellular processes leading to multiple phenotypes such as the central carbon metabolism in the model cyanobacterium Synechococcus elongatus. Tracking dynamic redox reactions in response to light disturbance effectively integrates transcriptome and proteome datasets in cyanobacteria and leads to discovery of an assemblage of protein regulators. This study reveals the complexity of regulations across different time scales, highlighting a multilayered regulatory network of metabolic pathways built on chemical and molecular interactions coupled to circadian rhythmicity in cyanobacteria.