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Protein structure prediction

Computational method that predicts a protein's 3D structure from its amino acid sequence, widely used to infer function of uncharacterized proteins.

Current stories

scienceOne report1 publisher

AlphaFold predictions helped ITQB NOVA engineer a bacterial galactose oxidase

ITQB NOVA researchers engineered PsGalOx, which they call the first bacterial galactose oxidase, into a variant 40 to 1,800 times more efficient. The team says much of the gain in directed evolution came from cells making more protein; drug substrates are still ahead.

Publishers:phys.org

Reality

Evidence50
Adoption
Not scored
Hype gap+15
Incentives
Not scored
Confidence55
scienceOne report1 publisher

Modelled odour receptors lead INRAE to the lily moth's sex pheromone

INRAE-led researchers modelled two lily moth odour receptors with AI and used them to find the species' previously unknown sex pheromone. The route could speed pheromone work on little-studied pests, though confirming the hit still took live moths.

Publishers:phys.org

Reality

Evidence60
Adoption
Not scored
Hype gap+20
Incentives
Not scored
Confidence60
scienceOne report1 publisher

Aphid genomes let AlphaFold2 trace 2,400 plant-hijacking proteins to one reworked fold

Stowers Institute scientists fed AlphaFold2 new aphid genomes and got about 2,400 structures of plant-hijacking proteins built on one reworked fold. Two X-ray structures anchor those predictions. What the proteins do inside a plant is still unknown.

Publishers:phys.org

Reality

Evidence58
Adoption10
Hype gap+18
Incentives
Not scored
Confidence55
scienceOne report1 publisher

McMaster traces broad phage host range to variation at the tail fiber's contact point

A PNAS study compared predicted tail fiber structures for phages tested on Pseudomonas aeruginosa and found the broader-spectrum ones differ from each other where they touch the bacterial pilus. Dozens of database relatives fit the same pattern.

Publishers:phys.org

Reality

Evidence62
Adoption
Not scored
Hype gap+15
Incentives60
Confidence55
productOne report1 publisher

Apple's SimpleDesign drops the tokenizer stage from protein co-design

Apple researchers report that one end-to-end training run on more than 2 million sequence-and-structure pairs competes with the usual tokenizer-then-generator pipelines.

Publishers:9to5mac.com

Reality

Evidence45
Adoption10
Hype gap+15
Incentives62
Confidence55
scienceOne report1 publisher

3D-AFM images water arranging itself in sequence-specific layers around peptide assemblies

A team in Japan, Finland, Italy and the United States mapped ordered hydration shells above a peptide assembly at subnanometer resolution, and argues that water belongs in the definition of the protein.

Publishers:phys.org

Reality

Evidence58
Adoption
Not scored
Hype gap+32
Incentives62
Confidence55
buildOne report1 publisher

NVIDIA's BioIR starts its inference clock after the alignment you had to build yourself

NVIDIA backs its structure-prediction runtime with a production run across 4,777 proteomes rather than a benchmark chart, and the distance between that number and your cluster is mostly work BioIR never touches.

Reality

Evidence52
Adoption40
Hype gap+22
Incentives78
Confidence58
scienceOne report1 publisher

Penalizing AlphaFold3 for repeating itself let it find F1-beta's closed shape

A group at the Institute for Molecular Science added a bias energy that pushes each new AlphaFold3 prediction away from the last, and the sampled set reached open, closed and intermediate states of a subunit that AF3 alone gets wrong.

Publishers:phys.org

Reality

Evidence45
Adoption
Not scored
Hype gap+25
Incentives70
Confidence45
buildOne report1 publisher

Making protein folding agent-callable via Claude Science and BioNeMo NIM, with about 700 GB of storage needed

NVIDIA's BioNeMo Agent Toolkit answers a real question for agents that know a task needs folding but not which model to call. The price of that answer is a database download and a Claude Science sandbox you have to open.

Reality

Evidence58
Adoption20
Hype gap+25
Incentives85
Confidence48
scienceOne report1 publisher

AI built a working phage genome. It still cannot tell you which phage to use

A Science paper from Stanford reports an AI-designed phage genome that produced a functioning virus. Predicting which phage infects which bacterium is still posed as an open question.

Publishers:phys.org

Reality

Evidence38
Adoption14
Hype gap+8
Incentives58
Confidence42