What the AI was for
Structure determination
Recovering the structure of an object from indirect measurement or from sequence.
35articles
28Structural biology
3Materials & chemistry
4Astronomy
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Reconstructing the early universe's density field with a smoothed map of cosmic structure
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Researchers read an AlphaFold model of honey bee vitellogenin's tail end
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Structure predictions place an uncharacterised human protein in the BRICHOS family
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AlphaFold models used to map membrane-crossing segments in human proteins
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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
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Software splits coiled-coil proteins into short windows for AlphaFold to model
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Five structure-prediction models tested on 509 protein–peptide pairs under altered inputs
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Deep learning reads cryo-EM maps alongside AlphaFold3 models to build protein structures
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AlphaFold's confidence scores used to predict which disordered protein segments bind LC8
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Neural network fills gaps in protein maps from raw diffraction data
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Repeating-coil proteins designed from random sequences using AlphaFold2 in an evolution loop
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Software models of two cancer proteins used to rank mutations by likely effect
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Simulations probe shape-shifting of opium poppy's reticuline-flipping enzyme using a predicted structure
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Benchmarking AI tools that predict and design peptides for cell-surface receptors
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Pretrained potentials give a structure search a head start in finding atomic arrangements
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Classifying stars by type from a single wide-band telescope image
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A shared test set for predicting which enzyme carries out a reaction
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Random atoms settle into molecules and crystals on a learned energy surface
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Protein language model embeddings tested against classical descriptors for spotting resistance genes
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Two protein design models redesigned T cell receptor contact points on solved structures
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Cryo-EM maps and AlphaFold models explain how two bacterial helper proteins activate an enzyme
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Neural networks trained on atomic surroundings score how mutations change proteins
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Neural networks recover a simulated barred galaxy's gravity from one snapshot
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Benchmark measures how well AlphaFold predicts antibody-antigen complex structures
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Neural network turns galaxy shape distortions into maps of invisible cluster mass
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Neural network writes amino acid sequences to fit fixed protein backbones
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Neural networks read infrared spectra to work out how CO sits on platinum
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Software works out protein shapes from electron microscope images using statistics
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Neural network predicts protein atom positions from amino acid sequence alone
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Protein shapes computed from patterns of change across families of related sequences
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Cryo-tomography maps the myosin filament inside relaxed mouse heart muscle
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Researchers map the sixteen-part Commander complex using crystals, cryo-EM and AlphaFold2
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Deep learning turns raw NMR spectra into protein structures without human intervention
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