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Iscience|March 31, 2025
Pareto-optimal sampling for multi-objective protein sequence designJiaqi Luo, Kerr Ding, Yunan LuoPlos Computational Biology|May 29, 2024
Leveraging conformal prediction to annotate enzyme function space with limited false positivesKerr Ding, Jiaqi Luo, Yunan LuoBiorxiv : the Preprint Server for Biology|February 12, 2026
Deconvolving mutation effects on protein stability and function with disentangled protein language modelsKerr Ding, Ziang Li, Tony Tu, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Contrastive learning of protein representations with graph neural networks for structural and functional annotationsJiaqi Luo, Yunan LuoBiorxiv : the Preprint Server for Biology|March 3, 2025
Learning maximally spanning representations improves protein function annotationJiaqi Luo, Yunan LuoBioinformatics (Oxford, England)|June 30, 2023
Supervised biological network alignment with graph neural networksKerr Ding, Sheng Wang, Yunan LuoBiorxiv : the Preprint Server for Biology|March 23, 2026
Evolutionary profile enhancement improves protein function annotation for remote homologsShitong Dai, Jiaqi Luo, Yunan LuoBiorxiv : the Preprint Server for Biology|June 5, 2026
SynFit: Synergistic Contrastive Learning for Multi-Objective Protein Fitness Prediction and OptimizationTony Tu, Wei Huang, Ziang Li, et al.Nature Communications|July 30, 2024
Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineeringKerr Ding, Michael Chin, Yunlong Zhao, et al.Biorxiv : the Preprint Server for Biology|March 3, 2025
Rewiring protein sequence and structure generative models to enhance protein stability predictionZiang Li, Yunan LuoPageof 12