biology
De novo protein design: how a computer invents a molecule that sticks Lesson
De novo protein design means inventing a protein that does not exist in nature and that binds a chosen target, by predicting how a chain of amino acids will fold and then searching for a chain that folds into a shape which fits. It works because structure prediction got good enough to grade designs before anyone builds them.
Claude designed protein binders against 14 of 15 targets and two labs built every one of them News
Anthropic said on August 18 that Claude designed minibinders against 15 protein targets and succeeded on 14, with hit rates of 26.7 and 22.6 percent against the 10 to 15 percent typical of protein design campaigns, validated by two independent contract labs.
Genome language models: predicting DNA the way a chatbot predicts text Lesson
Genome language models are trained to predict the next base in a DNA sequence, the same objective that produces chatbots, and they turn out to learn enough biology to write working viral genomes from scratch.
Isomorphic Labs Unveils a Drug-Design AI That Beats Physics at Predicting How Drugs Bind News
Isomorphic Labs, the DeepMind drug-discovery spinout, unveiled a Drug Design Engine that surpasses even physics-based methods at predicting binding strength and recomputed a cereblon drug pocket that took 15 years to find in the lab.
SciReasoner is an AI for science that shows which atoms and bonds its answer rests on News
Shanghai AI Lab's SciReasoner turns proteins, molecules, and crystals into discrete tokens the model reasons over out loud, so a scientist can audit which structural evidence its prediction depends on -- and expert reviewers rated its reasoning at least as good as a frontier LLM's in 98% of cases.
Anthropic launches Claude Science, an AI workbench that keeps data in the lab and checks its own citations News
Anthropic released Claude Science, a beta workbench that wires Claude into researchers' real tools -- PubMed, Jupyter, HPC clusters -- runs on the lab's own hardware so sensitive data never leaves, and pairs a working agent with a separate reviewer agent that flags and corrects citation and calculation errors.
SciReasoner, a science AI whose reasoning experts prefer 98% of the time News
SciReasoner, a multimodal scientific foundation model that turns molecular and material structures into a shared vocabulary, hit state-of-the-art on 67 of 86 benchmarks, and in blind review domain experts preferred its explanations over frontier LLMs in 98% of cases.
Biology becomes AI's next benchmark battleground -- and today's agents are failing News
New benchmarks show frontier AI agents scoring as low as 17% at basic biology data retrieval and returning wildly different answers to the same query, but a single deterministic lookup tool pushes accuracy above 90% -- as OpenAI launches GeneBench-Pro to measure judgment-heavy biology.
Anthropic launches Claude Science, an AI workbench built for biologists News
Anthropic released Claude Science, a customizable research workbench that wires Claude into more than 60 scientific databases and tools like PubMed, Jupyter, and R, and is giving qualifying researchers up to $2,000 in compute.
Evo 2 Tool
Arc Institute's open genome language model for DNA, used to design bacteriophage genomes that were synthesized and shown to work in living bacteria; weights and code are public.
Evo Tool
Arc Institute's family of genome language models, released openly with code and checkpoints. Used by Arc and Stanford to generate complete synthetic bacteriophage genomes that were then built and tested in the lab against non-pathogenic bacterial hosts.
Chai Discovery design suite Tool
An interactive design canvas for biologics rather than a prediction tool: choose an antibody format, choose or infer the target structure, pick the epitope, target a specific antigen state, and specify chemical modifications. Commercial access with limited academic availability.