Mayya Sedova

The paper provides a global atlas of predicted functional domains in Legionella pneumophila effectors using 3D structure prediction, identifying novel domains and demonstrating their functional impact.

The paper introduces a drug resistance tracker to monitor and predict the emergence of mutations in SARS-CoV-2 that confer resistance to antiviral drugs targeting Mpro and PLpro.

The paper introduces difference contact maps (DCMs) to analyze conformational flexibility in proteins by identifying critical interactions and functional residues across alternative conformations.

Cancer3D 2.0 provides an interactive platform to analyze 3D mutation patterns in cancer subsets, enabling identification of novel driver regions in specific patient subgroups.