Scientific Contributions
Adding a piece to the J23119 family promoters, we provide a proof of concept for how promoters that are stronger than some of the currently established powerful constitutive ones can be potentially found altering the sequential context. Our project shed light on how future researchers can build upon the expanding of strong promoter libraries using our screening workflow. For the iGEM community, we contribute more than 20 distinct promoter sequences for our newly defined pP6 promoter family (see Engineering). The varied sequences of these robust promoters would greatly reduce the resource expenditure associated with development of novel, complicated multi-cassette genetic constructs.
Our computational notebooks cover a span of topics ranging from protein design to machine learning to cheminformatics that are not only useful introductory, hands-on resources for anyone to learn from, but also feature small experiments run at scale to analyze results through a number of metrics. In the case of the protein design teams, these experiments provide a comprehensive perspective of the protein mutant landscape in a way that can inform future design decisions. In the case of the CheRMiT team, these experiments were chemical validation implementations that enable the team or any interested researcher to leverage the various functionality of RDKit for in silico combinatorial chemical exploration and screening.
