Roberto Netti

This study investigates the reconstructability of evolutionary intermediates using generative sequence landscapes, finding that conditional sampling better captures plausible histories than maximum-likelihood prediction.

adabmDCA 2.0 provides a flexible and multi-language implementation of Direct Coupling Analysis for protein and RNA sequence data, enabling tasks like contact prediction and sequence design.