Xie, Lei

AD-linked R47H- TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation

Sayed, F. A., Kodama, L., Fan, L., Carling, G. K., Udeochu, J. C., Le, D., Li, Q., Zhou, L., Wong, M. Y., Horowitz, R., et al. (2021) · Science Translational Medicine

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 155

Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing

Wu, Y., Liu, Q., Qiu, Y., & Xie, L. (2022) · PLOS Computational Biology

Computational Drug Discovery MethodsGene expression and cancer classification

Cited by 34

Females exhibit higher GluA2 levels and outperform males in active place avoidance despite increased amyloid plaques in TgF344-Alzheimer's rats

Chaudry, O., Ndukwe, K., Xie, L., Figueiredo-Pereira, M., Serrano, P., & Rockwell, P. (2022) · Scientific Reports

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 28

Elucidation of Genome-wide Understudied Proteins targeted by PROTAC-induced degradation using Interpretable Machine Learning

Xie, L., & Xie, L. (2023) · PLoS Computational Biology

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 26

Elucidation of genome-wide understudied proteins targeted by PROTAC-induced degradation using interpretable machine learning

Xie, L., & Xie, L. (2023) · PLOS Computational Biology

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 26

A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems

Zhang, S., Liu, Y., & Xie, L. (2023) · Scientific Reports

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 24

Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer

Liao, Z., Xie, L., Mamitsuka, H., & Zhu, S. (2023) · Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 24

A universal framework for accurate and efficient geometric deep learning of molecular systems

Zhang, S., Liu, Y., & Xie, L. (2023) · Scientific Reports

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 24

AD-linked R47H- TREM2 mutation induces disease-enhancing proinflammatory microglial states in mice and humans

Sayed, F. A., Kodama, L., Udeochu, J. C., Fan, L., Carling, G. K., Le, D., Li, Q., Zhou, L., Mathys, H., Wang, M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 3

Sequence-based drug-target binding site pre-training enables cryptic pocket detection and improves binding affinity and kinetics prediction

Zhang, S., Xie, L., Tiourine, D., & Xie, L. (2026) · Journal of Cheminformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 2