Author

N. Bethel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Assay:protein structure· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1

Frequent Co-Authors

D. Baker· 3 shared A. Courbet· 2 shared A. Kang· 2 shared B. Coventry· 2 shared B. Sankaran· 2 shared G. Bhabha· 2 shared J. Dauparas· 2 shared P. J. Y. Leung· 2 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioengineering

D. Baker

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Modulation of FGF pathway signaling and vascular differentiation using designed oligomeric assemblies

N. I. Edman, R. L. Redler, A. Phal, T. Schlichthaerle, S. R. Srivatsan, A. Etemadi, S. An, A. Favor, D. Ehnes, Z. Li, F. Praetorius, M. Gordon, W. Yang, B. Coventry, D. R. Hicks, , D. Baker

This study designs synthetic oligomeric ligands to modulate FGFR signaling and shows their impact on vascular cell fate decisions.

Cell · Jul 1, 2024Peer-reviewedBioengineering

Blueprinting expandable nanomaterials with standardized protein building blocks

T. F. Huddy, Y. Hsia, R. D. Kibler, J. Xu, N. Bethel, D. Nagarajan, R. Redler, P. J. Y. Leung, A. Courbet, E. C. Yang, A. K. Bera, N. Coudray, S. J. Calise, F. A. Davila-Hernandez, C. Weidle, , D. Baker

This paper introduces standardized protein building blocks and geometric design principles to create expandable protein nanomaterials, validated through X-ray crystallography and electron microscopy.

bioRxiv · Jun 9, 2023Biochemistry

Robust deep learning based protein sequence design using ProteinMPNN

J. Dauparas, I. Anishchenko, N. Bennett, H. Bai, R. J. Ragotte, L. F. Milles, B. I. M. Wicky, A. Courbet, R. J. de Haas, N. Bethel, P. J. Y. Leung, T. F. Huddy, S. Pellock, D. Tischer, F. Chan, , D. Baker

A deep learning method for protein sequence design shows high performance in both simulations and experiments, applicable to various design challenges.

bioRxiv · Jun 3, 2022Biophysics