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
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
Optimization of the cut configuration for skin grafts. [PDF]
Harbrecht H, Karnaev V.
europepmc +1 more source
Trainable Sparse Coding with Lp-Norm-Based Regularization
2019年度
openaire
Chronic periodontitis elevates circulating CRP, which enters the hippocampus to upregulate BMP4 in oligodendrocyte precursor cells (OPCs), thereby impairing neurogenesis and inducing anxiety/depression‐like behaviors in rats. Counteracting this pathway, CRP deficiency helps confer functional resilience to OPCs.
Lingjie Li +9 more
wiley +1 more source
Combining motor competence and motor learning strategies helps to reduce the risk of biomechanical factors associated with ACL injury. [PDF]
Orangi BM +3 more
europepmc +1 more source
A biocompatible hydrogel coating with tissue‐like mechanics and reversible dissolution triggered by a mild, physiologically compatible temperature drop (≈37°C → ≈25°C) was developed for the transient encapsulation of implantable devices. The physically crosslinked methylcellulose, polyethylene glycol and polyacrilic acid (MC/PEG/PAA) hydrogel ...
Francesca Persano +14 more
wiley +1 more source
Helmet-Head Decoupling in Ice Hockey Impacts: An In-lab Exploratory Study Using Autoregressive Modeling of Acceleration Data Measured from a Helmet-Mounted Inertial Measurement Unit (IMU). [PDF]
Sciacca D, Ionescu A.
europepmc +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Determinants of perceived usefulness, satisfaction and behavioral intention of using AI in lesson planning among English teachers. [PDF]
Sun Q, Jin F, Li L.
europepmc +1 more source

