Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include Computational Drug Discovery Methods, Machine Learning in Bioinformatics, X-ray Diffraction in Crystallography, and RNA and protein synthesis mechanisms.
BatGPT-Chem: A Foundation Large Model for Chemical Engineering
REUNION: transcription factor binding prediction and regulatory association inference from single-cell multi-omics data
Explorative study using ultrasound time-harmonic elastography for stiffness-based quantification of skeletal muscle function
Multicenter, single-arm, phase II trial of camrelizumab and chemotherapy as neoadjuvant treatment for locally advanced esophageal squamous cell carcinoma
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways
Prioritization of candidate cancer drugs based on a drug functional similarity network constructed by integrating pathway activities and drug activities
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier
Druggable negative allosteric site of P2X3 receptors
MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA–disease association
Deciphering the multicomponent synergy mechanism from a systems pharmacology perspective: Application to Gualou Xiebai Decoction for coronary heart disease
Prediction of Molecular Mechanisms for LianXia NingXin Formula: A Network Pharmacology Study
MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features
Compound Danshen tablets downregulate amyloid protein precursor mRNA expression in a transgenic cell model of Alzheimer's disease: Effects and a comparison with donepezil.
CAREER: Dynamic Catalyst Evolution from Atoms to Active Nanostructures Probed by Operando Methods
CAREER: Understanding Intermediate Sulfur Phases for Enhanced Energy Storage
CAREER: Tailoring Light-Matter Interactions in Perovskite-Based Molecular Metamaterials for Quantum-Informed Photonic Technologies.
REU Site: AI Research for Intelligent Systems and Efficiency
Collaborative Research: SaTC 2.0: RES: AIGIS: Securing the Deep Learning Model Supply Chain
CAREER: Data-Driven Learning of Interpretable and Extrapolative Models of Complex Systems with Sparse Data
CAREER: CAS-Climate: Forecast-informed Flexible Reservoir System Modeling Enabled by Artificial Intelligence Algorithms Using Subseasonal-to-Seasonal Hydroclimatological Forecasts
Postdoctoral Fellowship: MSPRF: Combinatorial and Topological Properties of Triangulated Manifolds
Quantitative Analysis on High-Contrast Composite Materials
Collaborative Research: NeTS: Medium: CAML: Communication-constrained Adaptive Machine Learning in Heterogeneous Edge Networks
Collaborative Research: CAIG: Reliable Generative Downscaling for Geoscience Data
Probing the Active Tensioning Response Under Sustained Strain in Epithelial Cells
ENG/ECCS-EPSRC Advanced Interband Cascade Lasers with Innovative Quantum Well Active Regions Grown on Si Substrates
Collaborative Research: Human-centered AI for Reconfigurable Manufacturing Operation and desigN sYnthesis (HARMONY)
Collaborative Research: 2D Chiral Fingerprint Metasensor Empowered by Machine Learning for Chiral Molecule Sensing
LEAPS-MPS: Correlated Methods for Correlated Phases
Twisted semiconductors in the semiclassical regime