discovery · Source published 2021-07-22
A broader map of human proteins.
Researchers applied AlphaFold to a broad collection of human proteins.
Find your way in.
15 items for “protein”: records, experiences, guides and model families. Source reports remain distinct from discoveries.
discovery · Source published 2023-07-11
Designing proteins with purpose.
RFdiffusion enabled researchers to generate proteins with specified structural and functional goals.
discovery · Source published 2023-03-16
Predicting a protein’s shape from its sequence
ESMFold applies a protein language model to infer three-dimensional structure directly from an amino-acid sequence, with checkpoints and bulk prediction tools available to researchers.
discovery · Source published 2026-10-08
UW protein designers get more room to test new ideas
A computing grant gives UW researchers more capacity to explore protein designs, with open tools planned and laboratory evidence still essential.
discovery · Source published 2026-10-21
RFD4-Proteina gives researchers a new way to design proteins. The important results begin in the lab.
UW Medicine and NVIDIA have released a protein-design model with code, weights and experimental findings. The opportunity is to help more researchers test useful ideas—with clear limits on what the early evidence establishes.
discovery · Source published 2026-10-09
GSK expands Chai collaboration after testing AI-designed proteins
A reported laboratory evaluation offers an early look at how computer-designed molecules could enter drug research.
discovery · Source published 2021-07-15
Seeing the shape of life.
Researchers used AlphaFold to predict protein structures with accuracy competitive with experimental structures on many CASP14 targets. Bright's interactive p53 view uses a separate, later AlphaFold DB prediction: human p53 AF-P04637-F1 model v6, created on 2025-08-01.
discovery · Source published 2024-05-08
Seeing molecules together.
AlphaFold 3 expanded structural prediction to complexes of proteins and other biomolecules.
discovery · Source published 2024-11-15
Assembling biological model workflows
BioNeMo brings biological foundation models and training components into one framework for protein, molecular, and drug-research experiments.
discovery · Source published 2026-10-20
AI has produced new scorpion-toxin research leads. The next step belongs in the lab.
Anthropic reports 17 protein designs that met its binding criteria. The hopeful story is what researchers can investigate next, not a treatment that already exists.
discovery · Source published 2022-04-27
An enzyme for a plastic problem.
Scientists used machine learning to help engineer an enzyme that breaks down PET plastic.
discovery · Source published 2026-10-22
Carbon-X brings DNA questions into everyday language
Hugging Face’s open model connects genetic sequences with conversational AI. Early benchmarks suggest a cheaper, locally run research tool, while its biological claims still need careful checking.
discovery · Source published 2026-10-20
OpenAI acquires Orchestra Bio: the work between a discovery and a medicine
A promising molecule still needs a path through studies, manufacturing and human decisions. OpenAI’s latest acquisition targets the coordination behind that journey.
discovery · Source published 2026-10-21
NVIDIA’s local AI push brings more work onto your own computer. Here’s what changes.
At GTC Berlin, NVIDIA laid out a range of computers and software for running AI closer to the people using it, from Windows laptops to team-scale workstations. The appealing idea is more control over where data goes and how AI tools work. The test is whether local AI becomes useful and manageable beyond a premium-hardware demo.
collection · Authored Bright experience
Open-Source & Open-Weight AI Models: Compare and Run Locally
Compare 15 AI model families by license, size and openness. Inspect documented local candidates, try a sourced setup guide, and download a dated comparison.