Aiping Lü

This paper develops LYTACs by conjugating the nucleolin-targeting aptamer SAPT8 with other ligands to enable lysosomal degradation of target proteins in tumors and rheumatoid arthritis fibroblasts.

TRAFICA improves TF-DNA binding affinity prediction by integrating open chromatin features and in vitro binding profiles, outperforming existing tools in both in vitro and in vivo settings.

This paper develops PROTACs that cross the blood-tumor barrier by targeting nucleolin, showing anti-glioblastoma efficacy without toxicity.

This paper identifies 4-C-3 as an antitumor metabolite derived from cholesterol by gut microbiota, showing its efficacy in CRC models through dual inhibition of EGFR and KRAS.

Pangaea improves metagenome assembly using short-reads with barcodes, achieving better contig continuity and more complete genomes than existing assemblers.

AptaGPT uses a generative pre-trained transformer to design aptamers, generating high-affinity sequences faster than traditional methods.

Bio-Mol improves small molecule property prediction by integrating missing bioactivity profiles through pretraining and finetuning, achieving a 5.2% higher AUROC than previous models.

IGSimpute improves scRNA-seq data imputation with high accuracy and interpretability, outperforming existing methods on multiple tissues.

This study uses an explainable AI model to classify chronic inflammatory responses as prognostic markers for glioma using TCGA data, identifying five inflammatory profiles linked to survival outcomes.

This paper introduces PRSIMD, a machine learning model that integrates genetic and non-genetic factors to improve disease risk prediction, showing better performance than existing PRS methods.

dynDeepDRIM uses deep learning to predict direct regulatory interactions from single-cell time-course gene expression data, outperforming existing methods.

ReDisX redefines disease diagnosis by classifying patients based on genomic signatures, revealing disease subpopulations and identifying GZMB as a potential drug repurposing marker.

DeepDRIM is a deep neural network that reconstructs cell-type-specific gene regulatory networks from single-cell RNA-seq data, outperforming existing methods and distinguishing functional modules in COVID-19 patients.

This study shows that hyocholic acid species are associated with metabolic health and glucose homeostasis, and their levels predict diabetes risk in humans.

This study shows that methylglyoxal (MGO) enhances resilience to chronic stress and alleviates depression-like symptoms by promoting synaptic plasticity through TrkB activation and BDNF expression.