Model family
Transformer
Attention-based sequence architecture.
48articles
37Structural biology
6Materials & chemistry
5Astronomy
aix-00221
Neural network measures rotation periods for Kepler's main-sequence stars
aix-00210
Language models suggest ingredients and firing temperatures for inorganic materials recipes
aix-00206
Neural network designs five hard metallic glasses, all confirmed by experiment
aix-00195
Researchers read an AlphaFold model of honey bee vitellogenin's tail end
aix-00158
Structure predictions place an uncharacterised human protein in the BRICHOS family
aix-00156
Protein language model and two classifiers predict where ATP binds on proteins
aix-00155
Neural network predicts crystal density of candidate explosives from molecular structure
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AlphaFold models used to map membrane-crossing segments in human proteins
aix-00151
Classifier sorts true from false AlphaFold predictions of human protein pairs
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AlphaFold2 used to predict the shapes of hepatitis E virus copying proteins
aix-00162
Software splits coiled-coil proteins into short windows for AlphaFold to model
aix-00164
Five structure-prediction models tested on 509 protein–peptide pairs under altered inputs
aix-00169
AlphaFold's confidence scores used to predict which disordered protein segments bind LC8
aix-00171
Neural network fills gaps in protein maps from raw diffraction data
aix-00145
Repeating-coil proteins designed from random sequences using AlphaFold2 in an evolution loop
aix-00143
Software models of two cancer proteins used to rank mutations by likely effect
aix-00140
Model labels which protein residues are active sites and what job they do
aix-00138
AI-labelled protein pairs used to test how well function predictors handle unknown proteins
aix-00136
Diffusion model generates synthetic images of the Sun sorted by flare strength
aix-00174
Simulations probe shape-shifting of opium poppy's reticuline-flipping enzyme using a predicted structure
aix-00180
Teaching protein language models to rank mutants from a few dozen lab measurements
aix-00181
Protein language model embeddings used to predict succinylation sites in proteins
aix-00185
Protein language model trained to spot lactylated lysines in rice proteins
aix-00186
Language model trained on protein sequences predicts shape and stability of disordered proteins
aix-00188
Machine learning sorts antibody heavy chains by the germ they target
aix-00189
Benchmarking AI tools that predict and design peptides for cell-surface receptors
aix-00190
A transformer model segments cryo-electron tomograms from three viewing directions at once
aix-00129
Neural networks sort supernovae and estimate their distances from brightness alone
aix-00117
Deep learning model predicts polymer heat-softening across 48,208 designed candidates
aix-00115
A shared test set for predicting which enzyme carries out a reaction
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Protein language model embeddings tested against classical descriptors for spotting resistance genes
aix-00110
Deep learning trained on robotic peptide mapping predicts where antibody proteins degrade
aix-00100
Astronomers test pre-trained image models for sifting telescope alerts
aix-00096
Two protein design models redesigned T cell receptor contact points on solved structures
aix-00092
Cryo-EM maps and AlphaFold models explain how two bacterial helper proteins activate an enzyme
aix-00083
A compact neural network learns to generate shape-shifting protein structures
aix-00081
Language models trained on protein sequences used to predict sugar-attachment sites
aix-00072
Attention patterns inside a protein language model used to cut sequences into reusable units
aix-00065
Model predicts how fast an enzyme works on a substrate, with uncertainty attached
aix-00061
A search engine for radio galaxy shapes, built on a fine-tuned image-text model
aix-00056
Deep learning tool predicts how single mutations weaken protein partnerships
aix-00052
Benchmark measures how well AlphaFold predicts antibody-antigen complex structures
aix-00036
Four million simulated X-ray patterns used to test 21 crystal-symmetry classifiers
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Transformer model predicts how gas-storing crystals take up gases, replacing slow simulations
aix-00007
Neural network predicts protein atom positions from amino acid sequence alone
aix-00005
Cryo-tomography maps the myosin filament inside relaxed mouse heart muscle
aix-00003
Researchers map the sixteen-part Commander complex using crystals, cryo-EM and AlphaFold2
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