E-LIB Suche - Ergebnisse für: Dauparas, J.

1

Robust deep learning–based protein sequence design using Pr..:

Dauparas, J. ; Anishchenko, I. ; Bennett, N....
Science. 378 (2022) 6615 - p. 49-56 , 2022

Link: https://doi.org/10.1126/..

2

Hallucinating symmetric protein assemblies:

Wicky, B. I. M. ; Milles, L. F. ; Courbet, A....
Science. 378 (2022) 6615 - p. 56-61 , 2022

Link: https://doi.org/10.1126/..

3

Improving Protein Expression, Stability, and Function with ..:

Sumida, Kiera H. ; Núñez-Franco, Reyes ; Kalvet, Indrek...
Journal of the American Chemical Society. 146 (2024) 3 - p. 2054-2061 , 2024

Link: https://doi.org/10.1021/..

4

Rapid and automated design of two-component protein nanomat..:

de Haas, Robbert J. ; Brunette, Natalie ; Goodson, Alex...
Proceedings of the National Academy of Sciences. 121 (2024) 13 - p. , 2024

Link: https://doi.org/10.1073/..

5

Blueprinting extendable nanomaterials with standardized pro..:

Huddy, Timothy F. ; Hsia, Yang ; Kibler, Ryan D....
Nature. 627 (2024) 8005 - p. 898-904 , 2024

Link: https://doi.org/10.1038/..

6

Computational design of soluble and functional membrane pro..:

Goverde, Casper A. ; Pacesa, Martin ; Goldbach, Nicolas...
Nature. 631 (2024) 8020 - p. 449-458 , 2024

Link: https://doi.org/10.1038/..

7

Hallucination of closed repeat proteins containing central ..:

An, Linna ; Hicks, Derrick R. ; Zorine, Dmitri...
Nature Structural & Molecular Biology. 30 (2023) 11 - p. 1755-1760 , 2023

Link: https://doi.org/10.1038/..

8

Peptide-binding specificity prediction using fine-tuned pro..:

Motmaen, Amir ; Dauparas, Justas ; Baek, Minkyung...
Proceedings of the National Academy of Sciences. 120 (2023) 9 - p. , 2023

Link: https://doi.org/10.1073/..

9

Design of stimulus-responsive two-state hinge proteins:

Praetorius, Florian ; Leung, Philip J. Y. ; Tessmer, Maxx H....
Science. 381 (2023) 6659 - p. 754-760 , 2023

Link: https://doi.org/10.1126/..

10

De novo design of luciferases using deep learning:

Yeh, Andy Hsien-Wei ; Norn, Christoffer ; Kipnis, Yakov...
Nature. 614 (2023) 7949 - p. 774-780 , 2023

Link: https://doi.org/10.1038/..

11

Improving de novo protein binder design with deep learning:

Bennett, Nathaniel R. ; Coventry, Brian ; Goreshnik, Inna...
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

12

Mega-scale experimental analysis of protein folding stabili..:

Tsuboyama, Kotaro ; Dauparas, Justas ; Chen, Jonathan...
Nature. 620 (2023) 7973 - p. 434-444 , 2023

Link: https://doi.org/10.1038/..

13

Scaffolding protein functional sites using deep learning:

Wang, Jue ; Lisanza, Sidney ; Juergens, David...
Science. 377 (2022) 6604 - p. 387-394 , 2022

Link: https://doi.org/10.1126/..

14

End-to-end learning of multiple sequence alignments with di..:

Petti, Samantha ; Bhattacharya, Nicholas ; Rao, Roshan...
Bioinformatics. 39 (2022) 1 - p. , 2022

Link: https://doi.org/10.1093/..

15

Iterative SE(3)-Transformers:

, In: Lecture Notes in Computer Science; Geometric Science of Information,

Fuchs, Fabian B. ; Wagstaff, Edward ; Dauparas, Justas. - p. 585-595 , 2021

Link: https://doi.org/10.1007/..