Results 231 to 240 of about 7,605,221 (315)

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Single‐Cell Mitochondrial Lineage Tracing Decodes Fate Decision and Spatial Clonal Architecture in Human Hematopoietic Organoids

Advanced Science, EarlyView.
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue, Junhao Su, Yiming Chao, Lu Liu, Xinyi Lin, Yang Xiang, Mun Kay Ho, Zezhuo Su, Junyi Chen, Zhuojuan Luo, Chengqi Lin, Ruibang Luo, Theo Aurich, Jianfeng Wu, Kelvin Sin Chi Cheung, Yuanhua Huang, Joshua W. K. Ho, Ryohichi Sugimura   +17 more
wiley   +1 more source

Expanding horizons in Endocrine-Related Cancer: innovation, imagination, and a shared global vision. [PDF]

Endocr Relat Cancer
Pacak K.
europepmc   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

Advances in Research on Brain Health and Dementia: Prevention and Early Detection of Cognitive Decline and Dementia: Series II. [PDF]

Brain Sci
Yamasaki T.
europepmc   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

Advanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

Comic: explainable drug repurposing via contrastive masking for interpretable connections. [PDF]

BMC Bioinformatics
Aamer N, Asim MN, Dengel A.
europepmc   +1 more source

Ligand‐Induced Electronic Response Enables Predictive QM/MM Simulations

Advanced Science, EarlyView.
Quantum mechanics/molecular mechanics (QM/MM) simulations are powerful tools for modeling complex molecular systems; however, their predictability has been constrained by the ambiguous definition of the QM region. An electronically informed protocol is introduced that defines QM regions by quantifying guest‐induced orbital shifts and charge ...
Nichika Ozawa, Nahoko Kuroki, Hirotoshi Mori   +2 more
wiley   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source