Results 201 to 210 of about 322,733 (287)

Improved Systemic Immunochemotherapy Employing an Oxaliplatin‐TLR7/8 Agonist Prodrug Strategy

open access: yesAdvanced Science, EarlyView.
A platinum(IV) prodrug is developed to systemically deliver the TLR7/8 agonist gardiquimod. Tumor‐targeting is mediated by an albumin‐binding maleimide, which limits premature complex activation. Ox‐Gardi‐Mal accumulates specifically in the tumor, where it activates the immune system.
Michael Gutmann   +15 more
wiley   +1 more source

De Novo Design and Directed Evolution Refinement of Mirror‐Image Protein Binders Targeting Interleukin‐4

open access: yesAdvanced Science, EarlyView.
This study presents the de novo design and directed evolution of a mirror‐image D‐protein inhibitor targeting human interleukin‐4 (IL‐4). The engineered molecule exhibits nanomolar binding affinity for IL‐4 and effectively inhibits IL‐4–mediated signaling.
Liqing Xu   +7 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

Clinical outcomes of persistent sepsis-associated acute kidney injury in septic shock: a post-hoc analysis of a multicenter prospective cohort study. [PDF]

open access: yesAnn Intensive Care
Kyo M   +10 more
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

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