Results 191 to 200 of about 120,896 (238)

MG53 Coordinates Macrophage Polarization and Neuroimmune Coupling to Promote Corneal Nerve Regeneration via the MPEG1–MVP–STAT6 Axis

Advanced Science, EarlyView.
Corneal nerve regeneration is critical to corneal wound healing processes. The current study reveals a novel role of MG53 in promoting corneal nerve regeneration after alkali induced injury. Mechanistically, MG53 enters macrophages via its receptor, MPEG1, promotes MVP K63 ubiquitination, and triggers STAT6 induced repair‐related genes expression ...
Peng Chen, Zhentao Zhang, Lilian Sakai, Yanping Xu, Luxi Zhang, Han Ye, William Sollenberger, Takahide Ikeda, Zhiyu Yan, Keerthika Sathish, Usman Alizai, Haitao Wen, Timothy M. Pawlik, Heather L. Chandler, Hua Zhu   +14 more
wiley   +1 more source

Transformer-based graphs for drug-drug interaction with chemical knowledge embedding. [PDF]

Brief Bioinform
Zhang J, Zhang X, Dai Y, Shao X, Fan X.
europepmc   +1 more source

MEOX1 Coordinates Autocrine‐Paracrine Programs via SPHK1/S1P to Promote Lymph Node Metastasis in Ovarian Cancer

Advanced Science, EarlyView.
In ovarian cancer, MEOX1 activates the SPHK1/S1P pathway to promote both tumor progression and tumor–stroma crosstalk. MEOX1‐dependent signaling drives CAF activation, enhances VEGF‐C expression, and stimulates lymphangiogenesis, ultimately facilitating lymph node metastasis.
Jiajia Li, Xiuling Zhi, Qianhan Lin, Yating Sun, Yihua Sun, Zulimire Abudousalamu, Mengyang Xue, Chang Zheng, Xiaotian Li, Liangqing Yao, Mo Chen   +10 more
wiley   +1 more source

Constraint Decoupled Latent Diffusion for Protein Backmapping. [PDF]

J Chem Theory Comput
Han X, Sun Y, Chen K, Ren Y, Liu K, Ye Q.   +5 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Prediction of peptide cleavage sites using protein language models and graph neural networks. [PDF]

Sci Rep
Cifuentes P, Adàlia R, Zamora I.
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Introgressed Variation in TaMYB7‐A1 Drives Graded Dormancy and Climate‐Adaptive Pre‐Harvest Sprouting Resistance in Wheat

Advanced Science, EarlyView.
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang, Dongzhi Wang, Yafei Guo, Qi Zheng, Min Zhang, James Simmonds, Jian Hou, Xuemei Liu, Xuelei Lin, Xiaomin Bie, Xiansheng Zhang, Xiaohui Li, Yuan Chen, Xueyong Zhang, Cristobal Uauy, Fei Lu, Chengcai Chu, Zhixi Tian, Jun Xiao   +18 more
wiley   +1 more source

Graph-Based Deep Learning Models for Predicting p<i>K</i>_a Values of Protein-Ionizable Residues via Physically Inspired Feature Engineering. [PDF]

J Chem Inf Model
Song Z, Wang R, Jiao X, Huang Z.
europepmc   +1 more source

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source