Lab Team Wins Silver and Best Project Presentation Award at the First Collegiate Life Sciences Competition
The finals of the First Collegiate Life Sciences Competition were held at Jinan University in Guangzhou on October 15–17. A team comprising Jingke Chen, Jue Wang, Xiaochun Zha…
Team Including Yuming Zhang Wins Gold at the Inaugural AI and Synthetic Biology Innovation Competition
A team including lab member Yuming Zhang won a Gold Medal at the inaugural AI + Synthetic Biology Innovation Competition. The team also received the Best Overall Award and the…
Chemical Science | An Interpretable Framework Applying Protein Words to Predict Protein-Small Molecule Complementary Pairing Rules
ABSTRACT: Despite the high accuracy of ‘black box’ deep learning models, drug discovery still relies on protein–ligand interaction principles and heuristics. To improve interp…
BMC Bioinformatics | ICFinder: ion channel identification and ion permeation residue prediction using protein language models
ABSTRACT: Ion channel dysfunction underlies many diseases (e.g., arrhythmias, epilepsy, cystic fibrosis), and uncharacterized channels may also contribute to pathology. Identi…
Student-Founded Company Insightchemy Technology Secures Several Million RMB in Angel Investment from MiraclePlus
Recently, Insightchemy Technology, a company founded by Tian Yang, a doctoral student in the research group, completed an angel financing round of several million RMB from Mir…
Angewandte Chemie International Edition | Enhancing Enzyme Activity with Mutation Combinations Guided by Few-shot Learning and Causal Inference
ABSTRACT: Designing enzyme sequences to enhance product yield represents a fundamental challenge in metabolic engineering. Here, we established a workflow that integrates comp…
Chemical Science | Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
ABSTRACT: Artificial Intelligence (AI)-aided drug discovery is an active research field, yet AI models often exhibit poor accuracy in regression tasks for molecular property p…
Digital Discovery | Reaction center prediction by analyzing attention of a chemical language model
ABSTRACT: Pretrained chemical language models are widely used to predict molecular properties and chemical reactions, yet interpreting their internal attention mechanisms rema…
iscience | Predicting Protein-Nucleic Acid Interactions via Protein Language Models with Biophysical and Evolutionary Priors
ABSTRACT: Protein interactions with nucleic acids are fundamental to numerous biological processes. Here, we present PNABPred, a multi-modal framework that integrates biophysi…
