|
0
|
|
Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS.
(nature.com)
|
Bushuiev R
…
Pluskal T
Nature Biotechnology
2026-04-01
|
#metabolomics
#spectroscopy
#machine learning
#annotation
|
|
0
|
|
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network.
(nature.com)
|
Fadini A
…
AlQuraishi M
Nature Methods
2026-04-01
|
#modeling
#cryo-em
#machine learning
#crystallography
#structure prediction
|
|
0
|
|
Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverage.
(nature.com)
|
Levin N
…
Mohammed S
Nature Methods
2026-04-01
|
#proteomics
#mass spectrometry
#sequencing
#machine learning
#post-translational-modifications
|
|
0
|
|
Accurate predictions of disordered protein ensembles with STARLING.
(nature.com)
|
Novak B
…
Holehouse AS
Nature
2026-04-01
|
#modeling
#proteomics
#machine learning
#protein structure
|
|
0
|
|
Composable neural emulators accelerate thermoelectric generator design.
(nature.com)
|
Li A
…
Mori T
Nature
2026-04-01
|
#modeling
#machine learning
#materials
|
|
0
|
|
Toward a unified framework for determining conformational ensembles of disordered proteins.
(nature.com)
|
Ghafouri H
…
Monzon AM
Nature Methods
2026-04-01
|
#modeling
#proteomics
#machine learning
|