Bryan A. Raubenolt

This paper introduces muODE, a framework that simulates microbial community dynamics using metagenomics data to predict FMT outcomes and C. difficile resistance.

GalaxyMemMD provides a reproducible, high-throughput pipeline for membrane protein simulation and analysis, integrating embedding, MD simulation, and downstream analysis.

This paper uses Hyperdimensional Computing to predict chemical compound toxicity efficiently, showing it can classify compounds as toxic or non-toxic with computational advantages over traditional methods.

The paper identifies M1 muscarinic and H3 histamine receptors as targets for OPC differentiation and analyzes their ligand interactions using computational methods.