Ruijiang Li

The paper introduces SNAC-DB, a database with expanded structural diversity for antibody and NANOBODY VHH-antigen complexes, and benchmarks seven models showing limited accuracy and ranking issues.

The paper applies a novel active learning strategy, DEW-DROP, to improve protein structure prediction efficiency and data selection for two protein datasets.

CodonBERT is a large language model for mRNA design and optimization that outperforms previous methods on a flu vaccine dataset.

The paper develops two novel active learning batch selection methods for drug discovery, showing significant improvements over existing methods across multiple datasets.

DeepHiC enhances Hi-C data resolution using a generative adversarial network, improving chromatin loop and TAD detection accuracy from low-coverage sequencing data.

The paper models the time-resolved succession of epigenetic regulation during early mammalian development and identifies key epigenetic events that coordinate transcriptional programs at different stages.

This study integrates multiple analyses to characterize human essential genes and develops a web platform for their comprehensive interpretation.