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David Juergens
David Juergens
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
964*2023
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
353*2022
Protein sequence design by conformational landscape optimization
C Norn, BIM Wicky, D Juergens, S Liu, D Kim, D Tischer, B Koepnick, ...
Proceedings of the National Academy of Sciences 118 (11), e2017228118, 2021
189*2021
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
81*2024
Design of stimulus-responsive two-state hinge proteins
F Praetorius, PJY Leung, MH Tessmer, A Broerman, C Demakis, ...
Science 381 (6659), 754-760, 2023
302023
Zero‐shot mutation effect prediction on protein stability and function using RoseTTAFold
S Mansoor, M Baek, D Juergens, JL Watson, D Baker
Protein Science 32 (11), e4780, 2023
28*2023
HIV detection from human serum with paper-based isotachophoretic RNA extraction and reverse transcription recombinase polymerase amplification
AT Bender, BP Sullivan, JY Zhang, DC Juergens, L Lillis, DS Boyle, ...
Analyst 146 (9), 2851-2861, 2021
282021
De novo design of diverse small molecule binders and sensors using Shape Complementary Pseudocycles
L An, M Said, L Tran, S Majumder, I Goreshnik, GR Lee, D Juergens, ...
bioRxiv, 2023
9*2023
Computational design of serine hydrolases
A Lauko, SJ Pellock, I Anischanka, KH Sumida, D Juergens, W Ahern, ...
bioRxiv, 2024
22024
De novo protein design with deep learning
D Juergens
2024
Parametrically guided design of beta barrels and transmembrane nanopores using deep learning
DE Kim, JL Watson, D Juergens, S Majumder, SR Gerben, A Kang, ...
bioRxiv, 2024
2024
Accurate de novo design of high-affinity protein binding macrocycles using deep learning
S Rettie, D Juergens, V Adebomi, YF Bueso, Q Zhao, A Leveille, A Liu, ...
bioRxiv, 2024.11. 18.622547, 2024
2024
Scaffolding protein functional sites using deep learning
D Baker, J Wang, R Ragotte, L Milles, JL Watson, D Juergens, S Lisanza, ...
US Patent App. 18/339,519, 2023
2023
Transformer-based models for protein structure generation
A Bhatnagar, D Juergens, P Rangarajan
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Articles 1–14