Kumar Thurimella, PhD

1/ Our paper is out today in @cp-cellsystems.bsky.social. We used protein language models and deep learning to identify candidate protease allergens in the human microbiome. www.cell.com/cell-systems...

7/ Thanks to Elena Wu and senior authors Damian Plichta, @carriesokol.bsky.social, @thexavierlab.bsky.social, Sergio Bacallado. A cross-disciplinary effort across @broadinstitute.org, @massgeneralbrigham.bsky.social, @cam.ac.uk, @cuanschutz.bsky.social, @gatescambridge.bsky.social

1/ Our paper is out today in @cp-cellsystems.bsky.social. We used protein language models and deep learning to identify candidate protease allergens in the human microbiome. www.cell.com/cell-systems...

5/ We validated two hits: a V8-like serine protease from S. schleiferi (gut) and a Der f 1-like cysteine protease from T. forsythia (oral). Both drove Th2 responses in vivo, only when enzymatically active. The CP was found despite training solely on serine proteases.

1/ Our paper is out today in @cp-cellsystems.bsky.social. We used protein language models and deep learning to identify candidate protease allergens in the human microbiome. www.cell.com/cell-systems...

3/ The question was, can the conserved catalytic triad guide deep learning to find new allergens in metagenomes? We trained an MLP on ProtT5 embeddings with AFDB structural clusters augmenting training data.

1/ Our paper is out today in @cp-cellsystems.bsky.social. We used protein language models and deep learning to identify candidate protease allergens in the human microbiome. www.cell.com/cell-systems...