Biology subjects

Conway, N. J.

Publications and source records attributed to Conway, N. J..

2 recordsLinked to original sources

bioRxiv2023

A Platform for Controlled Template-Independent Enzymatic Synthesis of RNA Oligonucleotides and Therapeutics

Therapeutic RNA oligonucleotides have shown tremendous potential to manage and treat disease, yet current manufacturing methods cannot deliver on this promise. Here, we report the development and optimization of a novel, aqueous-based, template-independent enzymatic RNA oligonucleotide synthesis platform as an alternative to traditional chemical methodologies. Our platform is made possible by reversible terminator nucleoside triphosphates and an enzyme capable of their incorporation. We show that many common therapeutic RNA modifications are compatible with our process and demonstrate the enzymatic synthesis of natural and modified oligonucleotides in both liquid and solid phases. Our platform offers many unique advantages over chemical synthesis, including the realization of a more sustainable process to produce therapeutic RNA oligonucleotides. One-Sentence SummaryAn enzyme and novel nucleotide building blocks are used to synthesize RNA oligonucleotides template independently under aqueous conditions.

synthetic biology↗

bioRxiv2018

Toward machine-guided design of proteins

Proteins--molecular machines that underpin all biological life--are of significant therapeutic and industrial value. Directed evolution is a high-throughput experimental approach for improving protein function, but has difficulty escaping local maxima in the fitness landscape. Here, we investigate how supervised learning in a closed loop with DNA synthesis and high-throughput screening can be used to improve protein design. Using the green fluorescent protein (GFP) as an illustrative example, we demonstrate the opportunities and challenges of generating training datasets conducive to selecting strongly generalizing models. With prospectively designed wet lab experiments, we then validate that these models can generalize to unseen regions of the fitness landscape, even when constrained to explore combinations of non-trivial mutations. Taken together, this suggests a hybrid optimization strategy for protein design in which a predictive model is used to explore difficult-to-access but promising regions of the fitness landscape that directed evolution can then exploit at scale.

synthetic biology↗