Tommaso Ocari

The paper uses AI to analyze the structural impact of 7-mer peptide insertions in AAV capsids, identifying viable modifications and their effects on capsid stability and function.

The paper determines the optimal sequencing depth for accurately measuring barcode concentrations in combinatorial genetic experiments by analyzing NGS data and incorporating a mathematical model of PCR amplification.

The paper investigates why engineered AAV variants have lower titers and finds that DNAse digestion heat reduces their stability, leading to artificially low titers.

The paper introduces ACIDES, a method that improves performance estimation in directed evolution by combining statistical inference and in-silico simulations, tested on experimental and public datasets.