| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Engineering allosteric transcription factors guided by the LacI topology
|
Hersey, Ashley N.
|
|
|
14 |
8 |
p. 645-655
|
artikel
|
| 2 |
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?
|
Höcker, Birte
|
|
|
14 |
8 |
p. 629-632
|
artikel
|
| 3 |
In vitro continuous protein evolution empowered by machine learning and automation
|
Yu, Tianhao
|
|
|
14 |
8 |
p. 633-644
|
artikel
|
| 4 |
Learning protein fitness landscapes with deep mutational scanning data from multiple sources
|
Chen, Lin
|
|
|
14 |
8 |
p. 706-721.e5
|
artikel
|
| 5 |
PocketAnchor: Learning structure-based pocket representations for protein-ligand interaction prediction
|
Li, Shuya
|
|
|
14 |
8 |
p. 692-705.e6
|
artikel
|
| 6 |
Protein engineering of pores for separation, sensing, and sequencing
|
Samineni, Laxmicharan
|
|
|
14 |
8 |
p. 676-691
|
artikel
|
| 7 |
Protein engineering via sequence-performance mapping
|
McConnell, Adam
|
|
|
14 |
8 |
p. 656-666
|
artikel
|
| 8 |
Simplifying complex antibody engineering using machine learning
|
Makowski, Emily K.
|
|
|
14 |
8 |
p. 667-675
|
artikel
|
| 9 |
Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces
|
Deshpande, Atul
|
|
|
14 |
8 |
p. 722
|
artikel
|
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