Hongchao Ji

AI-Guided Structure-Aware Modeling and Thermal Proteomics Reveal Direct Demethylzeylasteral-ACLY Interaction

The paper uses AI and thermal proteomics to identify a natural product's direct target and shows its therapeutic effect in a psoriasis model.

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide Prediction

AMPBAN is a deep learning model that integrates protein sequence and structural features to predict antimicrobial peptides, showing superior performance compared to existing methods.

Chemical Space Localization for Unknown Metabolite Annotation via Semantic Similarity of Mass Spectral Language

The paper introduces a deep learning method for annotating unknown metabolites using semantic similarity of mass spectral data, showing improved performance over existing methods.

Fully automated and integrated proteomics sample preparation platform for high-throughput drug target identification

The paper introduces an automated proteomics sample preparation platform that improves throughput for drug target identification.

Predicting Molecular Fingerprint from Electron-Ionization Mass Spectrum with Deep Neural Networks

The paper introduces DeepEI, a deep learning method that predicts molecular fingerprints from EI-MS spectra to improve compound identification accuracy.

Deep Learning Enable Untargeted Metabolite Extraction from High Throughput Coverage Data-Independent Acquisition

This paper introduces DeepSWATH, a deep learning method to improve metabolite identification from SWATH data by reconstructing precursor-ion to MS/MS spectrum associations.