Our paper is finally out in @natcomms.nature.com! Have a look if you're interested in how we can use PLMs to learn more about viral proteins, particularly with limited sequence data!

MRC-UofG Centre for Virus Research@cvrinfo.bsky.social · 7mo ago

Protein Language Models (PLMs) could transform outbreak response New research from @kieranlamb.bsky.social & colleagues show that PLMs can identify mutation hotspots and key features of viral proteins - even from a single sequence. www.gla.ac.uk/research/az/...

Our PLM-interact is out in Nature Communications! We show that jointly encoding protein pairs using protein language models improves protein–protein interaction prediction performance and enables fine-tuning to predict mutation effects in human PPIs. www.nature.com/articles/s41...

PLM-interact: extending protein language models to predict protein-protein interactions - Nature Communications

Protein structure can be predicted from amino acid sequences with unprecedented accuracy, yet the prediction of protein–protein interactions remains a challenge. Here, authors present a sequence-based...

nature.com

📢Join us for the next ECR #Viromics Webinar: "Characterising novel viral proteins using protein language models (PLMs)" ‍🎙️ Kieran Lamb (@kieranlamb.bsky.social) | University of Glasgow/UK 🗓️ 8 October 2025, 4 PM CEST 📍 Online | Zoom (register for login details) 👉 coms.osu.edu/webinars/ecr...

Recently we have been doing lots of work on how modern #AI methods can be applied to studying virus evolution, so it felt like great timing to write a perspective about it! Very happy to see our paper as editor's pick in JVI!🥳🥳 doi.org/10.1128/jvi....

Pathogen genomic surveillance and the AI revolution | Journal of Virology

Genomic pathogen sequencing during the COVID-19 pandemic highlighted the critical role of surveillance in understanding the persistence of SARS-CoV-2 in the human population despite high levels of pro...

doi.org