Results 91 to 100 of about 4,826 (192)

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

open access: yesAdvanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu   +7 more
wiley   +1 more source

A Microenvironment‐Adaptive Scaffold Rejuvenates Peripheral Nerve Regeneration During Aging Via Dual Modulation of Ferroptotic Stimuli in Schwann Cells

open access: yesAdvanced Science, EarlyView.
(i) Aging impairs peripheral nerve regeneration via its dual ferroptosis‐mediated pathologies in senescent schwann cells. (ii) The composite nerve conduit is a symbiosis niche integrating microenvironment‐responsive nanoparticles (Ga‐PTAs) and maxillofacial‐derived mesenchymal stem cells (Mmscs).
Ning Zhan   +12 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li   +3 more
wiley   +1 more source

TECTB Variants Reveal Tectorial Membrane Vulnerability in Dominant Non‐Syndromic Hearing Loss

open access: yesAdvanced Science, EarlyView.
TECTB is a non‐collagenous protein of the tectorial membrane – an extracellular matrix of the cochlea. This study identifies dominant missense variants in TECTB linked to human hereditary deafness in two unrelated families. Genetically engineered mice homozygous for one of the variants are profoundly deaf, whereas heterozygous mice have normal hearing ...
Evan B. Hale   +23 more
wiley   +1 more source

Increased Disarray of Extracellular Matrix Collagen‐I Fiber Network and Compromised Biomechanics in Aortae From Marfan‐Syndrome Mice Assessed Through Combined Opto‐Biomechatronics

open access: yesAdvanced Science, EarlyView.
Combined structure‐function assessment in aortic rings from Marfan mice using MechaMorph Opto‐Biomechatronics technology relates increased elasticity (stiffness) and dynamic viscosity and less ordered extracellular matrix 3D‐structure (collagen) as potential causes for impaired Windkessel function and compromised haemodynamics in Marfan's syndrome ...
Dominik Schneidereit   +10 more
wiley   +1 more source

Influence of Top Electrode Metal on Resistive Switching in Multilayer MOCVD MoS2 Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
MoS2 memristors typically use evaporated noble metal electrodes. This study compares Pd, Ni, and Al electrodes and sputtered versus evaporated deposition. Pd is passive, while Ni damages MoS2, yielding poor switching. Sputtered Al enables reproducible ECM‐type switching with 95% yield, whereas evaporated Al forms an interfacial oxide that suppresses ...
Dennis Braun   +15 more
wiley   +1 more source

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