Erica Teixeira Prates

This study examines how waterlogging affects two pennycress lines, showing differences in gene expression, morphology, and yield, with MN106 showing stronger upregulation of hypoxia-related genes.

This paper develops a novel feature set and public resource for predicting CRISPR-Cas9 sgRNA efficiency using quantum chemical tensors and explainable-AI methods.

This study characterizes how SARS-CoV-2 3CLpro cleaves NEMO, revealing structural and functional insights that explain its high fitness in humans.

The paper identifies structural variants (SVs) in ASD families and links them to molecular pathways and genes associated with non-verbal ASD, using explainable AI for subgroup identification.

The paper uses a systems biology approach to analyze COVID-19 data and identifies non-respiratory infection pathways as key to its global spread.