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ORCIDEli J. Draizen
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Journal Articles
- 2024
[j3]Eli J. Draizen, John Readey, Cameron Mura, Philip E. Bourne:
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinform. 25(1): 11 (2024)- 2019
- [j2]Thomas A. Hopf
, Anna G. Green, Benjamin Schubert, Sophia Mersmann, Charlotta Schärfe, John Ingraham, Ágnes Tóth-Petróczy, Kelly Brock, Adam J. Riesselman, Perry Palmedo, Chan Kang, Robert P. Sheridan, Eli J. Draizen, Christian Dallago, Chris Sander, Debora S. Marks:
The EVcouplings Python framework for coevolutionary sequence analysis. Bioinform. 35(9): 1582-1584 (2019) - 2016
- [j1]Eli J. Draizen, Alexey K. Shaytan, Leonardo Mariño-Ramírez, Paul B. Talbert, David Landsman, Anna R. Panchenko:
HistoneDB 2.0: a histone database with variants - an integrated resource to explore histones and their variants. Database J. Biol. Databases Curation 2016 (2016)
Informal and Other Publications
- 2019
- [i1]Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli, Eli J. Draizen, Ke Wang, Cameron Mura, Philip E. Bourne:
Machine Learning for Classification of Protein Helix Capping Motifs. CoRR abs/1905.00455 (2019)
Coauthor Index
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