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Nathaniel R. Bennett
Nathaniel R. Bennett
Verified email at uw.edu
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Cited by
Cited by
Year
Robust deep learning–based protein sequence design using ProteinMPNN
J Dauparas, I Anishchenko, N Bennett, H Bai, RJ Ragotte, LF Milles, ...
Science 378 (6615), 49-56, 2022
9632022
De novo design of protein structure and function with RFdiffusion
JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ...
Nature 620 (7976), 1089-1100, 2023
8852023
Design of protein-binding proteins from the target structure alone
L Cao, B Coventry, I Goreshnik, B Huang, W Sheffler, JS Park, KM Jude, ...
Nature 605 (7910), 551-560, 2022
3662022
Scaffolding protein functional sites using deep learning
J Wang, S Lisanza, D Juergens, D Tischer, JL Watson, KM Castro, ...
Science 377 (6604), 387-394, 2022
3272022
Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models
JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ...
BioRxiv, 2022.12. 09.519842, 2022
2112022
Improving de novo protein binder design with deep learning
NR Bennett, B Coventry, I Goreshnik, B Huang, A Allen, D Vafeados, ...
Nature Communications 14 (1), 2625, 2023
1742023
De novo design of high-affinity binders of bioactive helical peptides
S Vázquez Torres, PJY Leung, P Venkatesh, ID Lutz, F Hink, HH Huynh, ...
Nature 626 (7998), 435-442, 2024
752024
Atomically accurate de novo design of single-domain antibodies
NR Bennett, JL Watson, RJ Ragotte, AJ Borst, DL See, C Weidle, ...
bioRxiv, 2024
472024
Geometry and expression enhance enrichment of functional yeast‐displayed ligands via cell panning
LA Stern, IA Schrack, SM Johnson, A Deshpande, NR Bennett, ...
Biotechnology and bioengineering 113 (11), 2328-2341, 2016
462016
High-CO2 Requirement as a Mechanism for the Containment of Genetically Modified Cyanobacteria
RL Clark, GC Gordon, NR Bennett, H Lyu, TW Root, BF Pfleger
ACS synthetic biology 7 (2), 384-391, 2018
382018
De novo design of high-affinity protein binders to bioactive helical peptides
SV Torres, PJY Leung, ID Lutz, P Venkatesh, JL Watson, F Hink, ...
Biorxiv, 2022.12. 10.519862, 2022
202022
Robust de novo design of protein binding proteins from target structural information alone
L Cao, B Coventry, I Goreshnik, B Huang, JS Park, KM Jude, I Marković, ...
BioRxiv, 2021.09. 04.459002, 2021
152021
Designed endocytosis-inducing proteins degrade targets and amplify signals
B Huang, M Abedi, G Ahn, B Coventry, I Sappington, C Tang, R Wang, ...
Nature, 1-9, 2024
62024
Designed endocytosis-triggering proteins mediate targeted degradation
B Huang, M Abedi, G Ahn, B Coventry, I Sappington, R Wang, ...
BioRxiv, 2023
62023
Multiple de novo designed protein binding proteins
LJ Stewart, D Baker, CAO Longxing, B Coventry, I Goreshnik, B Huang, ...
US Patent App. 18/576,518, 2024
2024
Deep Learning Tools for Protein Binder Design
NR Bennett
University of Washington, 2023
2023
De novo design of high-affinity protein binders to bioactive helical peptides
PJY Leung, ID Lutz, P Venkatesh, JL Watson, F Hink, H Huynh, AH Yeh, ...
2022
Robust deep learning based protein sequence design using ProteinMPNN
K Bera, NP King, D Baker
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