Jiaye Chen

Sep 5, 2024 | digitalcommons.library.tmc.edu | Wubing Zhang |Jiaye Chen |Katherine A. Donovan |Yang Cao

Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largely unknown. Here, we developed a machine learning model, model-free analysis of protein degradability (MAPD), to predict degradability from features intrinsic to protein targets.

Nov 28, 2023 | onlinelibrary.wiley.com | Lei Zhou |Liangliang Liang |Jiaye Chen |Xin Zhou

1 Introduction Metal-halide perovskite quantum dots (MHP QDs) have gained prominence in recent years because of their exceptional optical and electronic properties, including high luminescence quantum yield, narrow emission bandwidth, and tunable luminescence.[1] However, the ionic nature of these compounds also poses several challenges to their synthesis and applications.[2] Specifically, the nucleation and growth of MHP QDs occur too quickly through rapid ionic metathesis reactions, making...