A5102871589- Industrial Vision Systems and Defect Detection
- Machine Learning in Materials Science
- CRISPR and Genetic Engineering
- Human Pose and Action Recognition
- Cancer-related Molecular Pathways
- Computational Drug Discovery Methods
- Protein Structure and Dynamics
- RNA Interference and Gene Delivery
- Medical Image Segmentation Techniques
- Cancer Genomics and Diagnostics
- Advanced Breast Cancer Therapies
- Advanced biosensing and bioanalysis techniques
- Hand Gesture Recognition Systems
- Anomaly Detection Techniques and Applications
Jilin University
2024
Model Animal Research Center
2024
Regend Therapeutics (China)
2023-2024
Beijing Information Science & Technology University
2023
Abstract Structure-based generative chemistry is essential in computer-aided drug discovery by exploring a vast chemical space to design ligands with high binding affinity for targets. However, traditional silico methods are limited computational inefficiency, while machine learning approaches face bottlenecks due auto-regressive sampling. To address these concerns, we have developed conditional deep model, PMDM, 3D molecule generation fitting specified PMDM consists of equivariant diffusion...
Selective CDK2 inhibitors have the potential to provide effective therapeutics for CDK2-dependent cancers and combating drug resistance due high cyclin E1 (CCNE1) expression intrinsically or CCNE1 amplification induced by treatment of CDK4/6 inhibitors. Generative models that take advantage deep learning are being increasingly integrated into early discovery hit identification lead optimization. Here we report a highly potent selective macrocyclic inhibitor QR-6401 (23) accelerated...
Immunotherapy has emerged as a revolutionary approach to treat immune-related diseases. Dendritic cells (DCs) play pivotal role in orchestrating immune responses, making them an attractive target for immunotherapeutic interventions. Modulation of gene expression DCs using genome editing techniques, such the CRISPR-Cas system, is important regulating DC functions. However, precise delivery CRISPR-based therapies posed significant challenge. While lipid nanoparticles (LNPs) have been...
Abstract The 2D human pose estimation plays an important role in human‐computer interaction and action recognition. Although the method based on high‐resolution network has superior performance, there is still room for improvement terms of speed lightweight. Here, a LiteDEKR, that combines lightweight accuracy, proposed by designing DEKR constructing two scientifically valid loss functions. method, constructs multi‐instance bias regression matches true distribution keypoint bias, improves...
Remote sensing image segmentation plays an important role in realizing intelligent city construction.The current mainstream networks effectively improve the effect of remote images by deeply mining rich texture and semantic features images.But there are still some problems such as rough results small target region poor edge contour segmentation.To overcome these three challenges, we propose improved model, referred to MRU-Net, which adopts U-Net architecture its backbone.Firstly,...