Results 201 to 210 of about 848,049 (294)

KBDR: document retrieval based on graph matching with knowledge enhancement. [PDF]

Sci Rep
Liu J, Huang Y, Tan J, Hua Z.
europepmc   +1 more source

Restoration of m6A‐Modified circPSMB1 Suppresses Chordoma Progression and Enables Local Nanotherapeutic Intervention

Advanced Science, EarlyView.
An m6A‐modified circRNA, circPSMB1, is identified as a tumor suppressor in chordoma. METTL3‐dependent m6A promotes circPSMB1 interaction with HNRNPA2B1, limiting c‐MYC expression and malignant progression. An injectable HMnO2‐based nanohydrogel enables local circPSMB1 delivery and tumor microenvironment‐responsive therapy, offering a promising strategy
Yingchuang Tang, Liang Qiu, Xingbang Ruan, Yihan Shi, Ye Wang, Hanwen Li, Kai Zhang, Kangwu Chen   +7 more
wiley   +1 more source

Interfacial Engineering of MgCo₂O₄@Ni(OH)₂ Heterostructures for Efficient Alkaline Water Oxidation. [PDF]

Molecules
Raorane CJ, Kim SC.
europepmc   +1 more source

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source

Predicting blood-brain barrier permeability of chemicals by machine learning modeling. [PDF]

NAM J
Chushak Y, Sterner TR, Clewell RA.
europepmc   +1 more source

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

Advanced 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, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

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

Advanced 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, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Accurate prediction of asparagine deamidation in biologics using advanced machine learning models. [PDF]

Brief Bioinform
Ahmed S, Swope N, Stanev V, Hofele R, WuDunn D, Jain R, Delmar J, Pouryahya M.   +7 more
europepmc   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

GraphTransDTI: A novel hybrid framework combining graph transformer and CNN-BiLSTM for enhanced Drug-Protein Interaction prediction. [PDF]

PLoS One
Le VV, Nhu MTA, Thong PTV.
europepmc   +1 more source