Wenjin Jim Zheng

This study benchmarks AlphaFold3's antibody-antigen binding predictions using experimental data and identifies biases and false positives in its performance.

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

The paper identifies non-coding DNA variations affecting P53 and cMYC-driven diseases by analyzing co-occupancy of these transcription factors and correlating DNA variations with gene expression changes.

This study identifies SIX1 as a driver of dermal fibrosis in systemic sclerosis by linking its upregulation to adipocyte dysfunction and fibrotic gene expression.

This study uses AlphaFold 2 to analyze the structural impact of alternative splicing in 3,000 human genes, identifying structural changes and disease-related mutations.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

The paper shows that HSC-independent hematopoietic progenitors persist into adulthood, challenging the HSC-centric model of blood cell development.

HiCPlus enhances the resolution of Hi-C interaction heatmaps using deep learning, reconstructing high-resolution data from low-resolution inputs.