Jianfeng Pei

CellChem: Cellular transcriptional responses reshape molecular representation space for efficient and multi-scale drug discovery

CellChem learns cell-guided molecular representations that integrate structure and function, improving drug discovery by capturing cellular response similarities.

Comparative assessment of co-folding methods for molecular glue ternary structure prediction

This paper evaluates co-folding methods for predicting ternary complexes involving molecular glues, finding AlphaFold3 performs best but relies on memorization rather than accurate modeling.

A Spatiotemporal Reconstruction of the C. elegans Pharyngeal Cuticle Reveals a Structure Rich in Phase-Separating Proteins

The paper reconstructs the spatiotemporal gene expression blueprint for C. elegans pharyngeal cuticle construction and identifies phase-separating proteins involved in cuticle remodeling.

CavitySpace: A database of potential ligand binding sites in the human proteome

CavitySpace identifies potential ligand binding sites in the human proteome using predicted structures, aiding in drug design and function prediction.

A Transferable Deep Learning Approach to Fast Screen Potent Antiviral Drugs against SARS-CoV-2

The paper develops a deep learning model to screen antiviral drugs against SARS-CoV-2, identifying a novel compound with promising inhibitory activity.

Prediction of liquid-liquid phase separation proteins using machine learning

The paper develops a machine learning tool, PSPredictor, to predict phase separation proteins using sequence information, achieving high accuracy and outperforming existing methods.