Showing results (1-10 of 176) with videos related to
Sort By:
Pageof 18
Biorxiv : the Preprint Server for Biology|January 8, 2024
Invariant point message passing for protein side chain packingNicholas Z Randolph, Brian KuhlmanProteins|May 25, 2024
Invariant point message passing for protein side chain packingNicholas Z Randolph, Brian KuhlmanProceedings of the National Academy of Sciences of the United States of America|January 29, 2024
Transfer learning to leverage larger datasets for improved prediction of protein stability changesHenry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, et al.Proceedings of the National Academy of Sciences of the United States of America|November 30, 2023
In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning modelsOdessa J Goudy, Amrita Nallathambi, Tomoaki Kinjo, et al.Biorxiv : the Preprint Server for Biology|June 22, 2026
Deep learning based design of buried hydrogen bond networks with HBDesignerHenry Dieckhaus, Brock T Harvey, Tomiris Mulikova, et al.The Journal of Biological Chemistry|November 9, 2019
Designing protein structures and complexes with the molecular modeling program RosettaBrian KuhlmanCurrent Opinion in Structural Biology|April 23, 2004
Exploring folding free energy landscapes using computational protein designBrian Kuhlman, David BakerProteins|December 1, 2005
Protein design simulations suggest that side-chain conformational entropy is not a strong determinant of amino acid environmental preferencesXiaozhen Hu, Brian KuhlmanCurrent Protocols|October 13, 2025
Automated Deep Learning-Based Pipelines for Multi-Objective De Novo Protein DesignAmrita Nallathambi, Brian KuhlmanProtein Science : a Publication of the Protein Society|December 20, 2024
Protein stability models fail to capture epistatic interactions of double point mutationsHenry Dieckhaus, Brian KuhlmanPageof 18