EMD-28859
Top-down design of protein architectures with reinforcement learning
EMD-28859
Single-particle2.93 Å
Deposition: 11/11/2022Map released: 10/05/2023
Last modified: 19/06/2024
Sample Organism:
Escherichia coli,
synthetic construct
Sample: RC_I_2
Fitted models: 8f53
Deposition Authors: Borst AJ
,
Baker D
,
Baker D
Sample: RC_I_2
Fitted models: 8f53
Deposition Authors: Borst AJ
,
Baker D
,
Baker D
Top-down design of protein architectures with reinforcement learning.
Lutz ID
,
Wang S
,
Norn C
,
Courbet A
,
Borst AJ
,
Zhao YT
,
Dosey A
,
Cao L,
Xu J,
Leaf EM
,
Treichel C
,
Litvicov P
,
Li Z
,
Goodson AD
,
Rivera-Sanchez P
,
Bratovianu AM
,
Baek M
,
King NP
,
Ruohola-Baker H
,
Baker D
(2023) Science , 380 , 266 - 273
,
Wang S
,
Norn C
,
Courbet A
,
Borst AJ
,
Zhao YT
,
Dosey A
,
Cao L,
Xu J,
Leaf EM
,
Treichel C
,
Litvicov P
,
Li Z
,
Goodson AD
,
Rivera-Sanchez P
,
Bratovianu AM
,
Baek M
,
King NP
,
Ruohola-Baker H
,
Baker D
(2023) Science , 380 , 266 - 273
Grant Support:
- Howard Hughes Medical Institute (HHMI): (United States)
