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0
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Metabolic modeling: the link between AI and multi-omics data to accelerate the discovery of antibiotic-resistant traits in ESKAPE pathogens.
(journals.asm.org)
|
Muzahid N
…
Zuniga C
Infection and Immunity
2026-10-07
|
#amr
#metabolic modeling
#machine learning
#multi-omics
#pathogen
|
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0
|
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Machine learning-assisted directed evolution of plant Rubisco.
(science.org)
|
McDonald JL
…
Wilson RH
Science Advances
2026-10-07
|
#protein design
#directed evolution
#machine learning
#enzyme kinetics
|
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0
|
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ProDTI: Prior-Guided Positive-Unlabeled Learning for Robust Drug-Target Interaction Prediction.
(academic.oup.com)
|
Wang Y
…
Li Y
Bioinformatics
2026-10-07
|
#machine learning
#drug discovery
#deep learning
#protein-protein interaction
#computational biology
|
|
1
|
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Toward interpretable foundation models for molecular biology.
(linkinghub.elsevier.com)
|
Varma M
…
Ideker T
Molecular Cell
2026-10-07
|
#interpretability
#foundation-models
#machine learning
|
|
0
|
|
AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale.
(science.org)
|
Anstine DM
…
Isayev O
Science Advances
2026-10-07
|
#machine learning
#computational chemistry
#simulation
#reaction-modeling
|
|
0
|
|
VAEBAC: A representation-learning framework for proteome-scale prediction of amyloidogenic proteins and functional stratification of nucleic-acid-binding proteins.
(academic.oup.com)
|
Ashraf MU
…
Khan RH
Bioinformatics
2026-10-07
|
#aggregation
#amyloid
#proteomics
#machine learning
#transcription
|
|
0
|
|
METANet: a supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks.
(academic.oup.com)
|
Jung WJ
…
Brent MR
Bioinformatics
2026-10-07
|
#transcriptomics
#networks
#machine learning
#regulation
|
|
0
|
|
Predicting regional gray swans via translocation: AI weather models and Dubai's unprecedented 2024 rainfall.
(science.org)
|
Sun Y
…
Marchakitus A
Science Advances
2026-10-07
|
#forecasting
#weather
#machine learning
#extremes
|