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#machine learning — Wednesday, October 07, 2026 (8 items)

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