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Jonathan Parkinson

Showing results (1-10 of 20) with videos related to

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Bioinformatics (Oxford, England)|April 23, 2024
For antibody sequence generative modeling, mixture models may be all you needJonathan Parkinson, Wei Wang
Journal of Chemical Information and Modeling|July 27, 2023
Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved InterpretabilityJonathan Parkinson, Wei Wang
Nature Communications|January 28, 2023
The RESP AI model accelerates the identification of tight-binding antibodiesJonathan Parkinson, Ryan Hard, Wei Wang
Briefings in Bioinformatics|January 29, 2026
Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representationsYoung Su Ko, Jonathan Parkinson, Wei Wang
Biorxiv : the Preprint Server for Biology|December 15, 2025
Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representationsYoung Su Ko, Jonathan Parkinson, Wei Wang
Proteins|August 4, 2022
Engineering human JMJD2A tudor domains for an improved understanding of histone peptide recognitionJonathan Parkinson, Ryan Hard, Richard Ainsworth, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 5, 2025
RESP2: An Uncertainty Aware Multi-Target Multi-Property Optimization AI Pipeline for Antibody DiscoveryJonathan Parkinson, Ryan Hard, Young Su Ko, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
RESP2: An uncertainty aware multi-target multi-property optimization AI pipeline for antibody discoveryJonathan Parkinson, Ryan Hard, Young Su Ko, et al.
Briefings in Bioinformatics|July 25, 2024
TUnA: an uncertainty-aware transformer model for sequence-based protein-protein interaction predictionYoung Su Ko, Jonathan Parkinson, Cong Liu, et al.
Journal of Chemical Information and Modeling|August 14, 2020
Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal RegressionJonathan Parkinson, Ryan Hard, Richard I Ainsworth, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|April 23, 2024
For antibody sequence generative modeling, mixture models may be all you needJonathan Parkinson, Wei Wang
Journal of Chemical Information and Modeling|July 27, 2023
Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved InterpretabilityJonathan Parkinson, Wei Wang
Nature Communications|January 28, 2023
The RESP AI model accelerates the identification of tight-binding antibodiesJonathan Parkinson, Ryan Hard, Wei Wang
Briefings in Bioinformatics|January 29, 2026
Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representationsYoung Su Ko, Jonathan Parkinson, Wei Wang
Biorxiv : the Preprint Server for Biology|December 15, 2025
Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representationsYoung Su Ko, Jonathan Parkinson, Wei Wang
Proteins|August 4, 2022
Engineering human JMJD2A tudor domains for an improved understanding of histone peptide recognitionJonathan Parkinson, Ryan Hard, Richard Ainsworth, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 5, 2025
RESP2: An Uncertainty Aware Multi-Target Multi-Property Optimization AI Pipeline for Antibody DiscoveryJonathan Parkinson, Ryan Hard, Young Su Ko, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
RESP2: An uncertainty aware multi-target multi-property optimization AI pipeline for antibody discoveryJonathan Parkinson, Ryan Hard, Young Su Ko, et al.
Briefings in Bioinformatics|July 25, 2024
TUnA: an uncertainty-aware transformer model for sequence-based protein-protein interaction predictionYoung Su Ko, Jonathan Parkinson, Cong Liu, et al.
Journal of Chemical Information and Modeling|August 14, 2020
Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal RegressionJonathan Parkinson, Ryan Hard, Richard I Ainsworth, et al.
Pageof 2