Francis C. Motta

The paper uses experimental results from de novo protein designs to identify and resolve failure modes in the Rosetta energy function, improving its accuracy in predicting stable protein structures.

The paper shows that the host circadian cycle and parasite intraerythrocytic cycle are coupled in P. vivax infections, suggesting potential therapeutic targets.

This paper introduces DART, a DBTL loop for synthetic genetic circuit design, showing that complex circuits can be more robust and reproducible than simpler ones in budding yeast.

The paper introduces a computational pipeline to identify core genetic networks from time-series data by iteratively reducing hypotheses, validated on synthetic and yeast cell-cycle data.

The paper identifies core gene regulatory network components across species by analyzing transcriptome dynamics, revealing shared features in GRNs controlling periodic biological processes.

The paper introduces improved datasets and evaluation methods for DNA-binding protein prediction, showing that a gradient boosting model and a BLAST-based baseline outperform previous methods.