Metagenomic Space

New preprint: pLM representations unlock metagenomic space beyond homology. Pre-training 100 protein language models reveals how training data controls the trade-off between evolutionary calibration and structural modeling, enabling the retrieval and in silico validation of diverse enzyme candidates from billions of metagenomic sequences. With Lola Le Breton, David Heurtel-Depeiges, Douglas Millar, Lara Zetzsche, Robert Vernon, Christopher Langmead, and Sarath Chandar. In collaboration with Amgen.