Peter C. St. John

According to our database, Peter C. St. John authored at least 9 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Plug & play directed evolution of proteins with gradient-based discrete MCMC.

Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John

Mach. Learn. Sci. Technol., June, 2023

2022

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.

Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John

Nat. Mach. Intell., 2022

graphenv: a Python library for reinforcement learning on graph search spaces.

David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John

J. Open Source Softw., 2022

2021

Predicting energy and stability of known and hypothetical crystals using graph neural network.

Shubham Pandey, Jiaxing Qu, Vladan Stevanovic, Peter C. St. John, Prashun Gorai

Patterns, 2021

2019

Bayesian inference of metabolic kinetics from genome-scale multiomics data.

Peter C. St. John, Jonathan Strutz, Linda J. Broadbelt, Keith E. J. Tyo, Yannick J. Bomble

PLoS Comput. Biol., 2019

2018

Message-passing neural networks for high-throughput polymer screening.

Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen

CoRR, 2018

2015

Mathematical Approaches to Understanding Mammalian Circadian Rhythms.

Peter C. St. John

PhD thesis, 2015

Quantifying Stochastic Noise in Cultured Circadian Reporter Cells.

Peter C. St. John, Francis J. Doyle III

PLoS Comput. Biol., 2015

2013

Estimating confidence intervals in predicted responses for oscillatory biological models.

Peter C. St. John, Francis J. Doyle

BMC Syst. Biol., 2013