Shiyi Zhang

Integrating Literature Evidence to Enhance CRISPR-based Target Screening for Hand-foot Syndrome

This paper introduces a dual-filter strategy combining literature-mined targets with CRISPR/Cas9 screening to prioritize credible drug targets for hand-foot syndrome, identifying ATF4 as a key regulator and forskolin as a potential therapeutic.

Automated Discovery of Therapeutic Biomaterial for Renally Impaired Hyperuricemia Patients by Natural Language Processing and Machine Learning

The paper develops MatWISE, a framework using NLP and ML to discover a biomaterial for renally impaired hyperuricemia, identifying δ-MnO2 as a promising UA-lowering agent.

Redefining the Game: MVAE-DFDPnet's Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions

This paper introduces MVAE-DFDPnet, a deep learning model that generates low-dimensional embeddings for drug-protein interactions, achieving better performance than existing methods.