Tianshi Yu

Tianshi Yu is a Postdoctoral Researcher at the School of Pharmacy, University of Kansas, affiliated with the Wang Lab. Their research focuses on applying machine learning and cheminformatics approaches to drug discovery and pharmacological studies, particularly in the areas of enzyme inhibition, neuropharmacology, and antimicrobial resistance.

• Primary Affiliation: School of Pharmacy, University of Kansas
• Lab Affiliation: Wang Lab

Research Interests: Tianshi Yu's work combines computational biology with medicinal chemistry to analyze structure-activity relationships (SAR) and quantitative SAR (QSAR) of drug candidates. Key areas include:

• Machine learning applications in drug design
• Angiotensin-converting enzyme (ACE) inhibitors
• LpxC and NDM-1 inhibitors for antibiotic resistance
• Androgen receptor antagonists for prostate cancer
• CYP17A1 enzyme inhibition mechanisms
• Neuropharmacological effects of heroin abstinence

Recent Publications: Analysis of heroin abstinence effects (2025); computational studies on ACE, LpxC, androgen receptor, CYP17A1 inhibitors (2023); and NDM-1 inhibitors for antibiotic resistance (2022). The work demonstrates expertise in integrating cheminformatics, machine learning, and pharmacological modeling.