1 citations · 1 across the 1 of their papers we have counts for
3 papers
A deep language model to predict metabolic network equilibria
François Charton, Amaury Hayat, Sean T. McQuade +2
We show that deep learning models, and especially architectures like the Transformer, originally intended for natural language, can be trained on randomly generated datasets to pre…
Metabolic graphs, LIFE method and the modeling of drug action on Mycobacterium tuberculosis
Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli
This paper serves as a framework for designing advanced models for drug action on metabolism. Drug treatment may affect metabolism by either enhancing or inhibiting metabolic react…
Stability of Metabolic Networks via Linear-In-Flux-Expressions
Nathaniel J. Merrill, Zheming An, Sean T. McQuade +4
The methodology named LIFE (Linear-in-Flux-Expressions) was developed with the purpose of simulating and analyzing large metabolic systems. With LIFE, the number of model parameter…