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0
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Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model.
(academic.oup.com)
|
Ng YL
…
Kwok KW
GigaScience
2026-01-21
|
#proteomics
#prediction
#deep learning
#enzyme
#catalysis
|
|
0
|
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ViralBindPredict: empowering viral protein-ligand binding sites through deep learning and protein sequence-derived insights.
(academic.oup.com)
|
Amorim AMB
…
Moreira IS
GigaScience
2026-01-21
|
#deep learning
#drug discovery
#viral proteins
#binding sites
#protein embedding
|
|
0
|
|
Disobind: A sequence-based, partner-dependent contact map and interface residue predictor for intrinsically disordered regions.
(linkinghub.elsevier.com)
|
Majila K
…
Viswanath S
Cell Systems
2026-01-21
|
#prediction
#deep learning
#folding
#protein-protein interaction
|
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0
|
|
DynamicGT: A dynamic-aware geometric transformer model to predict protein-binding interfaces in flexible and disordered regions.
(linkinghub.elsevier.com)
|
Mokhtari O
…
Khakzad H
Cell Systems
2026-01-21
|
#deep learning
#simulation
#protein-binding
#structure prediction
#disordered-regions
|
|
0
|
|
Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen health care settings.
(academic.oup.com)
|
Duroux D
…
Beerenwinkel N
GigaScience
2026-01-21
|
#amr
#machine learning
#maldi-tof
#generalization
#deep learning
|
|
0
|
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Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.
(academic.oup.com)
|
Mas-Gomez J
…
Martinez-Garcia PJ
GigaScience
2026-01-21
|
#imaging
#deep learning
#breeding
#phenotyping
#morphometrics
|
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0
|
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Exploring phenotype-related single-cells through attention-enhanced representation learning.
(link.springer.com)
|
Wu Q
…
Li Y
Genome Medicine
2026-01-21
|
#transcriptomics
#single-cell
#deep learning
#clustering
#phenotype
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