E-LIB Suche - Ergebnisse für: Feehan, Ryan

1

MAHOMES II: A webserver for predicting if a metal binding s..:

Feehan, Ryan ; Copeland, Matthew ; Franklin, Meghan W..
Protein Science. 32 (2023) 4 - p. , 2023

2

The energetics and evolution of oxidoreductases in deep tim:

McGuinness, Kenneth N. ; Fehon, Nolan ; Feehan, Ryan...
Proteins: Structure, Function, and Bioinformatics. 92 (2023) 1 - p. 52-59 , 2023

Link: https://doi.org/10.1002/..

3

Machine learning differentiates enzymatic and non-enzymatic..:

Feehan, Ryan ; Franklin, Meghan W. ; Slusky, Joanna S. G.
Nature Communications. 12 (2021) 1 - p. , 2021

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

4

Correction to "Membrane Barrels Are Taller, Fatter, Inside-..:

Dhar, Rik ; Feehan, Ryan ; Slusky, Joanna S. G.
The Journal of Physical Chemistry B. 125 (2021) 42 - p. 11784-11784 , 2021

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

5

Membrane Barrels Are Taller, Fatter, Inside-Out Soluble Bar..:

Dhar, Rik ; Feehan, Ryan ; Slusky, Joanna S. G.
The Journal of Physical Chemistry B. 125 (2021) 14 - p. 3622-3628 , 2021

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

6

Evolutionary pathways of repeat protein topology in bacteri..:

Franklin, Meghan Whitney ; Nepomnyachyi, Sergey ; Feehan, Ryan...
eLife. 7 (2018) - p. , 2018

Link: https://doi.org/10.7554/..

7

Efflux Pumps Represent Possible Evolutionary Convergence on..:

Franklin, Meghan Whitney ; Nepomnyachiy, Sergey ; Feehan, Ryan...
Structure. 26 (2018) 9 - p. 1266-1274.e2 , 2018

Link: https://doi.org/10.1016/..

8

Metalloprotein AlphaFold set with enzyme/non-enzyme labeled..:

Feehan, Ryan
doi:10.1093/nar/gkab1061. , 2023

Link: https://zenodo.org/recor..

9

Metalloprotein AlphaFold set with enzyme/non-enzyme labeled..:

Feehan, Ryan
doi:10.1093/nar/gkab1061. , 2023

Link: https://zenodo.org/recor..

10

Metalloprotein AlphaFold set with enzyme/non-enzyme labeled..:

Feehan, Ryan
doi:10.1093/nar/gkab1061. , 2023

Link: https://zenodo.org/recor..

11

Machine learning differentiates enzymatic and non-enzymatic..:

Feehan, Ryan ; Franklin, Meghan W ; Slusky, Joanna S. G
Feehan, R., Franklin, M. W., & Slusky, J. (2021). Machine learning differentiates enzymatic and non-enzymatic metals in proteins. Nature communications, 12(1), 3712. https://doi.org/10.1038/s41467-021-24070-3. , 2021

Link: http://hdl.handle.net/18..

12

Metalloprotein AlphaFold set with enzyme/non-enzyme labeled..:

Ryan Feehan ; Matthew Copeland ; Meghan W. Franklin.
doi:10.1093/nar/gkab1061. , 2023

Link: https://zenodo.org/recor..

13

SluskyLab/MAHOMES-II: v1.0.0:

Ryan Feehan ; Matthew Copeland ; Meghan W. Franklin.
https://github.com/SluskyLab/MAHOMES-II/tree/v1.0.0. , 2022

Link: https://zenodo.org/recor..

14

Machine learning differentiates enzymatic and non-enzymatic..:

Ryan Feehan ; Meghan W. Franklin ; Joanna S. G. Slusky
https://doi.org/10.1038/s41467-021-24070-3. , 2021

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

15

SluskyLab/MAHOMES: Machine Learning Differentiates Enzymati..:

Ryan Feehan ; Meghan W. Franklin ; Joanna S.G. Slusky
https://github.com/SluskyLab/MAHOMES/tree/v1.0.0. , 2021

Link: https://zenodo.org/recor..