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Bioinformatics (Oxford, England)
|
June 30, 2023
Supervised biological network alignment with graph neural networks
Kerr Ding, Sheng Wang, Yunan Luo
Plos Computational Biology
|
May 29, 2024
Leveraging conformal prediction to annotate enzyme function space with limited false positives
Kerr Ding, Jiaqi Luo, Yunan Luo
Iscience
|
March 31, 2025
Pareto-optimal sampling for multi-objective protein sequence design
Jiaqi Luo, Kerr Ding, Yunan Luo
Biorxiv : the Preprint Server for Biology
|
February 12, 2026
Deconvolving mutation effects on protein stability and function with disentangled protein language models
Kerr Ding, Ziang Li, Tony Tu, et al.
Biorxiv : the Preprint Server for Biology
|
June 5, 2026
SynFit: Synergistic Contrastive Learning for Multi-Objective Protein Fitness Prediction and Optimization
Tony 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 engineering
Kerr Ding, Michael Chin, Yunlong Zhao, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Bioinformatics (Oxford, England)
|
June 30, 2023
Supervised biological network alignment with graph neural networks
Kerr Ding, Sheng Wang, Yunan Luo
Plos Computational Biology
|
May 29, 2024
Leveraging conformal prediction to annotate enzyme function space with limited false positives
Kerr Ding, Jiaqi Luo, Yunan Luo
Iscience
|
March 31, 2025
Pareto-optimal sampling for multi-objective protein sequence design
Jiaqi Luo, Kerr Ding, Yunan Luo
Biorxiv : the Preprint Server for Biology
|
February 12, 2026
Deconvolving mutation effects on protein stability and function with disentangled protein language models
Kerr Ding, Ziang Li, Tony Tu, et al.
Biorxiv : the Preprint Server for Biology
|
June 5, 2026
SynFit: Synergistic Contrastive Learning for Multi-Objective Protein Fitness Prediction and Optimization
Tony 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 engineering
Kerr Ding, Michael Chin, Yunlong Zhao, et al.
Page
of 1