Maria Chiara Valerin

Discovering hidden candidate plastic-degrading enzymes: Combined multi-omics and machine learning strategy.

An approach combining metagenomics, metatranscriptomics and semi-supervised learning that selects promising plastic-degrading candidate enzymes from the proteome of relevant microorganisms, highlighting the potential of integrating multi-omics with data-driven methods for enzyme discovery and for accelerating the development of biotechnological solutions to plastic pollution.