Results 201 to 210 of about 403,766 (312)

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

open access: yesAdvanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz   +4 more
wiley   +1 more source

Leonurine Ameliorates Doxorubicin‐Induced Cardiotoxicity via STING/NF‐κB/NLRP3 Inflammasome Signaling Pathway

open access: yesAdvanced Science, EarlyView.
ABSTRACT Doxorubicin‐induced cardiomyopathy (DIC) remains a dose‐limiting clinical challenge. This study reveals that cardiac vascular endothelial cells (CVECs) act as initial sensors of doxorubicin cardiotoxicity: circulating doxorubicin activates the cGAS‑STING pathway in CVECs, triggering NLRP3 inflammasome‑mediated pyroptosis and release of ...
Wang Jun   +10 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

open access: yesAdvanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao   +9 more
wiley   +1 more source

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