Results 191 to 200 of about 17,489,457 (273)

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

open access: yesAdvanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang   +4 more
wiley   +1 more source

Intrinsic i$i$‐Wave Altermagnetism in 2D Graphene Superlattices

open access: yesAdvanced Science, EarlyView.
Altermagnetism has so far been mostly proposed in transition metals compounds. Here we show that monolayer and bilayer graphene antidot superlattices realize a carbon‐based i‐wave altermagnet. This is demonstrated with a combination of symmetry analysis, first principles methods and effective models, featuring a six‐fold spin splitting texture in ...
Cuiju Yu, Jose L. Lado
wiley   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

open access: yesAdvanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo   +15 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

open access: yesAdvanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin   +6 more
wiley   +1 more source

Loss‐Engineered Terahertz Pixelated Metasensors for Enhanced Molecular Vibrational Fingerprint Sensing

open access: yesAdvanced Science, EarlyView.
This work presents a THz pixelated metasensor that employs loss optimization and spectral overlap for enhanced molecular vibrational fingerprint sensing. The flexible loss rate tuning through the out‐of‐plane dimension allows the device to operate in the optimal fingerprint enhancement condition.
Chenglin Yang   +8 more
wiley   +1 more source

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