M. Razo-Mejia

Bayesian inference of relative fitness on high-throughput pooled competition assays

This paper introduces a Bayesian framework to infer microbial fitness from lineage tracking assays, accounting for noise and scaling to large datasets.

Reconciling Kinetic and Equilibrium Models of Bacterial Transcription

The paper compares seven models of bacterial transcriptional repression to determine which best explains gene expression data, finding a two-state model with burst size distribution most effective.

First-principles prediction of the information processing capacity of a simple genetic circuit

The paper predicts the information processing capacity of a genetic circuit using a minimal model based on published data and compares it with experimental results in E. coli.

The Energetics of Molecular Adaptation in Transcriptional Regulation

The paper links mutations in a transcriptional repressor to biophysical parameters, showing how changes in free energy predict gene expression and epistasis.

Tuning transcriptional regulation through signaling: A predictive theory of allosteric induction

The paper develops a predictive theory of allosteric transcriptional regulation using the Monod-Wyman-Changeux model and validates it with experimental data on bacterial simple repression motifs.