Nicholas Z Randolph (Nicholas Randolph)

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 16

Top Topics

Molecular Dynamics Simulations

Antiretroviral Therapy

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

bioRxiv : the preprint server for biology

This page only lists publications with an associated author ORCID identifier.

Publications

Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Odessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo, Nicholas Z Randolph, Brian Kuhlman
In silico evolution of protein binders with deep learning models for structure prediction and sequence design. bioRxiv : the preprint server for biology (2023)
Nicholas Z Randolph, Brian Kuhlman
Invariant point message passing for protein side chain packing. bioRxiv : the preprint server for biology (2023)
Nicholas Z Randolph, Brian Kuhlman
Invariant point message passing for protein side chain packing. bioRxiv : the preprint server for biology (2023)
Nicholas Z Randolph, Brian Kuhlman
Invariant point message passing for protein side chain packing. bioRxiv : the preprint server for biology (2023)
Odessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo, Nicholas Z Randolph, Brian Kuhlman
In silico evolution of protein binders with deep learning models for structure prediction and sequence design. bioRxiv : the preprint server for biology (2023)
Nicholas Z Randolph, Brian Kuhlman
Invariant point message passing for protein side chain packing. bioRxiv : the preprint server for biology (2023)
Odessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo, Nicholas Z Randolph, Brian Kuhlman
In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models. Proceedings of the National Academy of Sciences of the United States of America 120 (49) (2023)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. bioRxiv : the preprint server for biology (2023)
Nicholas Z Randolph, Brian Kuhlman
Invariant point message passing for protein side chain packing. bioRxiv : the preprint server for biology (2023)