Jiahao Luo

A benchmarking framework for single-cell genome-scale metabolic model construction

This study benchmarks strategies for constructing single-cell genome-scale metabolic models across nine scRNA-seq datasets, evaluating accuracy, sensitivity, and computational feasibility.

Leveraging large language models for metabolic engineering design

This paper develops a large language model-based method to extract metabolic engineering strategies from research articles and trains a hybrid model to predict engineering targets, outperforming traditional approaches.