Jonathan Parkinson

According to our database, Jonathan Parkinson authored at least 3 papers between 2020 and 2023.

Collaborative distances:

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

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