How a New AI Out-Predicts AlphaFold 3 on Protein Metal Ions
BiteNetI, a new deep-learning model, out-predicts AlphaFold 3 at finding protein metal-ion binding sites, a blind spot for today's protein language models.
AI Can Write a Virus's Genome. It Still Can't Read One
Scientists mutated every letter of the ΦX174 phage genome and measured the result. Top AI models predicted it only moderately well, a reality check for AI biology.
Protein Language Models Just Learned to Think in 3D
A new bioRxiv preprint, Prot-LAMBDA, teaches protein language models explicit 3D geometry and reportedly matches a model five times its size. Why efficiency, not scale, is the real story.
ChatGPT's Training Trick Just Redesigned a Bird-Flu Vaccine Protein
A Nature Methods paper borrows the alignment method used to tune chatbots and applies it to protein design, producing a heat-stable H5N1 hemagglutinin with only 45 tries.
Evolution as Training Data: How Biohub's Open Protein World Model Is Rewiring Drug Discovery
Biohub's open-source ESM models learned the rules of protein biology from evolution alone — and designed working drug binders in days. Here's what the release means, and where it falls short.
AI Foundation Model Maps Cancer Tissue: VirTues
VirTues, a new foundation model published in Nature, learns one shared representation of spatial proteomics data across marker panels and imaging platforms—and finds biomarkers that predict immunotherapy response.
AI vs. H5N1: How Artificial Intelligence Is Racing to Outsmart the Bird Flu Outbreak Sweeping Australia
Australia just logged its first H5N1 mass-mortality event. Here's how a new wave of AI tools — protein language models, generative antibody pipelines, AI-designed antigens — is being mobilised against the virus, and where the science still falls short.