Bree B. Aldridge

This study shows CD59 supports Yersinia pseudotuberculosis T3SS function by maintaining plasma membrane dynamics and lipid microdomain organization.

This paper evaluates active learning strategies for whole-cell antibiotic discovery, finding an optimal approach that significantly improves hit rates and generalizability across bacterial species.

This study uses 3D reconstruction and optimal transport modeling to analyze TLS development in TB-infected lungs, revealing distinct maturation trajectories and spatial dynamics.

The paper shows in vitro models of tuberculosis lesions predict treatment responses in marmosets better than conventional methods.

This study examines drug response patterns in diverse Mycobacterium tuberculosis strains to combination therapy, finding that strain-specific sensitivity varies more than genetic distance.

This paper shows that kinase inhibitors commonly target multiple kinases, independent of approval status, and highlights the need for better understanding of their polypharmacology.

This study uses dose-response curves to measure antibiotic activity against Mycobacterium abscessus and Mycobacterium peregrinum, showing that IC50 and IC75 are more consistent than MIC.

This study introduces DECIPHAER, a tool that identifies critical mechanisms of tuberculosis drug action by integrating multi-modal data, revealing that respiration inhibition is more impactful than cell wall effects.

This study shows that Mycobacterium tuberculosis adapts to acidic conditions by increasing growth-arrested cells, which enhance drug tolerance and survival.

This study identifies distinct growth and chaining properties in Clade 5 Clostridioides difficile strains using time-lapse microscopy, linked to the cmr switch sequence orientation.

Fleming is an AI agent that identifies lead compounds for Mycobacterium tuberculosis by combining discriminative and generative models, achieving higher discrimination and hit rates than alternative approaches.

The paper evaluates the effectiveness of standard TB drugs in mice, showing rifampin's critical role in killing bacteria and preventing resistance.

This study uses high-throughput screening to identify small molecules that enhance antibiotic efficacy against multidrug-resistant Gram-negative bacteria.

This study identifies suppressive myeloid cell populations in human TB granulomas using spatial transcriptomics and single-cell immunophenotyping, revealing IDO1+ dendritic cells as key regulators of immune suppression.

The paper develops a computational model to identify synergistic anti-TB drug combinations using transcriptomic data and validates its predictions with clinical trial data.