Nicholas Z Randolph
6PUBLICATIONS
12CO-AUTHORS
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Publications (6)
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|Apr 28, 2025
Aminoacyl-tRNA synthetase urzymes optimized by deep learning behave as a quasispecies.Sourav Kumar Patra, Nicholas Randolph, Brian Kuhlman
|Jan 29, 2024
Transfer learning to leverage larger datasets for improved prediction of protein stability changes.Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph
|Jan 08, 2024
Invariant point message passing for protein side chain packing.Nicholas Z Randolph, Brian Kuhlman
|Nov 30, 2023
In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models.Odessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo
|Aug 07, 2023
Transfer learning to leverage larger datasets for improved prediction of protein stability changes.Henry Dieckhaus, Michael Brocidiacono, Nicholas Randolph
|May 19, 2023
<i>In silico</i> evolution of protein binders with deep learning models for structure prediction and sequence design.Odessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo
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Frequent Collaborators
6 joint publications
Brian Kuhlman
2 joint publications
Odessa J Goudy
2 joint publications
Amrita Nallathambi
2 joint publications
Tomoaki Kinjo
2 joint publications
Henry Dieckhaus
1 joint publications
Henry Dieckhaus
1 joint publications
Michael Brocidiacono
1 joint publications
Sourav Kumar Patra
1 joint publications
Laurie Betts
1 joint publications
Jordan Douglas
