Kai Chen

Zero-Shot Protein-Ligand Binding Site Prediction from Protein Sequence and SMILES

This paper benchmarks sequence-based models for predicting protein-ligand binding sites across different ligand availability regimes, showing improved performance with ligand conditioning and chemical language model integration.

Bodily Self in Macaque Monkeys and Human Infants

The paper shows that macaque monkeys and human infants develop bodily self-recognition through different training methods and timelines, suggesting a hierarchical and stepwise process.

Predicting Kinase-Specific Phosphorylation Sites with Pretrained Protein Language Models

The paper introduces two sequence-based models to predict kinase-specific phosphorylation sites, showing improved performance and zero-shot capability.

Extending Prot2Token: Aligning Protein Language Models for Unified and Diverse Protein Prediction Tasks

This paper extends Prot2Token to align protein language models for diverse prediction tasks, improving performance across multiple applications through pre-training and integration with ESM-2.