Xuemei B. Pu
Chengdu, 610064, China
Last Updated: 09/26/2026
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Found 90 publications
SMDNet: A Self-Training-Aware and Multi-Modal-Adaptive Deep Learning Network for Low-Data Aβ42 Probe Design and Optimization.
Journal: Journal of medicinal chemistry
Published: July 10, 2026
A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural Networks.
Journal: Molecules (Basel, Switzerland)
Published: March 03, 2026
Precise Energy-Level Engineering of X-Shaped D-A Dyads for 1.16 s Anti-Kasha 3CT Room-Temperature Phosphorescence.
Journal: Angewandte Chemie (International ed. in English)
Published: February 13, 2026
Revealing GRK5 Activation Features by Interpretable Machine Learning and Molecular Dynamics Simulation.
Journal: International journal of molecular sciences
Published: February 06, 2026
The overall study protocol for the West China Bone Health Cohort
Journal: Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Published: December 25, 2025
Boosting Triplet Exciton Harvesting via Multi-Channel High-Lying Reverse Intersystem Crossing in a Hot Exciton Material Featuring Locally Excited-State Emission.
Journal: Angewandte Chemie (International ed. in English)
Published: November 26, 2025
Machine-learning assisted subclassification of glioblastoma by developing an endoplasmic reticulum stress-related methylation signature.
Journal: Frontiers in oncology
Published: November 20, 2025
Machine Learning Navigated Allosteric Network to Unveil Biased Allosteric Modulation of GPCRs.
Journal: Journal of chemical theory and computation
Published: September 16, 2025
Chromosome-level genome assembly of Youngia japonica reveals evolutionary dynamics underlying adaptation in a synanthropic Asteraceae species.
Journal: BMC plant biology
Published: July 30, 2025
TRIM21-Driven Degradation of BRD4: Development of Heterobifunctional Degraders and Investigation of Recruitment and Selectivity Mechanisms.
Journal: Journal of chemical information and modeling
Published: July 07, 2025
Integrating deep generative model with active learning for predicting immunotherapy responses in gastric cancer.
Journal: Computer methods and programs in biomedicine
Published: February 27, 2025
Last Updated: 09/26/2026