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Quantitative and interface-aware prediction of peptide–protein interactions by VITAL

Nature Machine Intelligence, Published online: 19 August 2026; doi:10.1038/s42256-026-01291-z

Chen, Wang, Li et al. introduce VITAL, a dual-channel deep learning framework that co-learns sequence and structural contexts to quantitatively predict peptide–protein interactions, map binding interfaces and estimate affinity.
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Beyond representational alignment with brain-guided language models for robust reasoning

Nature Machine Intelligence, Published online: 03 August 2026; doi:10.1038/s42256-026-01278-w

Xiao et al. show that large language models partially align with human brain activity during deductive reasoning. They further show that brain signals can directly guide and improve model performance, with transfer across reasoning types.
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