Jonathan Parkinson

According to our database, Jonathan Parkinson authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TUnA: an uncertainty-aware transformer model for sequence-based protein-protein interaction prediction.

Young Su Ko, Jonathan Parkinson, Cong Liu, Wei Wang

Briefings Bioinform., 2024

2023

Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.

Jonathan Parkinson, Wei Wang

J. Chem. Inf. Model., August, 2023

Scalable Gaussian process regression enables accurate prediction of protein and small molecule properties with uncertainty quantitation.

Jonathan Parkinson, Wei Wang

CoRR, 2023

2020

Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression.

Jonathan Parkinson, Ryan Hard, Richard I. Ainsworth, Nan Li, Wei Wang

J. Chem. Inf. Model., 2020