115 citations · 137 across the 4 of their papers we have counts for
4 papers
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami, Aidan Perreault, Jeffrey Law +2
A long-standing goal of machine-learning-based protein engineering is to accelerate the discovery of novel mutations that improve the function of a known protein. We introduce a sa…
Message-passing neural networks for high-throughput polymer screening
Peter C. St. John, Caleb Phillips, Travis W. Kemper +4
Machine learning methods have shown promise in predicting molecular properties, and given sufficient training data machine learning approaches can enable rapid high-throughput virt…
Efficient estimation of the maximum metabolic productivity of batch systems
Peter C. St. John, Michael F. Crowley, Yannick J. Bomble
Production of chemicals from engineered organisms in a batch culture involves an inherent trade-off between productivity, yield, and titer. Existing strategies for strain design ty…
A Coupled Stochastic Model Explains Differences in Circadian Behavior of Cry1 and Cry2 Knockouts
John H. Abel, Lukas A. Widmer, Peter C. St. John +2
In the mammalian suprachiasmatic nucleus (SCN), a population of noisy cell-autonomous oscillators synchronizes to generate robust circadian rhythms at the organism-level. Within th…