Results 161 to 170 of about 489,285 (241)

Discovery of SKP2‐Recruiting PROTACs for Target Protein Degradation

open access: yesAdvanced Science, EarlyView.
Based on the SKP2‐targeting ligand SL1, we designed non‐covalent PROTACs by linking it with the BRD4 inhibitor JQ1 and the AR antagonist AL through a linker. These PROTACs successfully induced the ubiquitination of BRD4 and AR, followed by proteasome‐mediated degradation.
Guanjun Dong   +13 more
wiley   +1 more source

Cuproptosis and Disulfidptosis Converge to Empower PD‐L1 Checkpoint Therapy via Cadict‐Induced PD‐L1 Translation

open access: yesAdvanced Science, EarlyView.
This study introduces Cadict, an EGFR‐targeted nanodrug that co‐delivers cuproptosis and disulfidptosis inducers to overcome immune resistance. Cadict synergistically enhances tumor cytotoxicity and sensitizes cancers to ICIs by upregulating PD‐L1 via an Eif5b‐dependent translation mechanism, fostering a potent antitumor immune response and ...
Shaoqing Huang   +12 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

Triagem familiar ampliada para o gene da hemoglobina S Extended family screening for hemoglobin S gene

open access: yesRevista Brasileira de Hematologia e Hemoterapia, 2006
Flavia M. G. C. Bandeira
doaj   +1 more source

Prevalence of hemoglobin S trait among blood donors: a cross-sectional study. [PDF]

open access: yesBMC Res Notes, 2015
Antwi-Baffour S   +4 more
europepmc   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

open access: yesAdvanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan   +7 more
wiley   +1 more source

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