Eli J. Draizen

According to our database, Eli J. Draizen authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data.

Eli J. Draizen, John Readey, Cameron Mura, Philip E. Bourne

BMC Bioinform., December, 2024

Supplemental Material for 'Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space' and DeepUrfold.

Eli J. Draizen, Stella Veretnik, Cameron Mura, Philip E. Bourne

Dataset, August, 2024

2022

DeepUrfold Supplemental Material.

Eli J. Draizen, Stella Veretnik, Cameron Mura, Philip E. Bourne

Dataset, July, 2022

Prop3D-20.

Eli J. Draizen, Cameron Mura, Philip E. Bourne

Dataset, July, 2022

2019

Machine Learning for Classification of Protein Helix Capping Motifs.

Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli, Eli J. Draizen, Ke Wang, Cameron Mura, Philip E. Bourne

CoRR, 2019

The EVcouplings Python framework for coevolutionary sequence analysis.

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

Bioinform., 2019

2016

HistoneDB 2.0: a histone database with variants - an integrated resource to explore histones and their variants.

Eli J. Draizen, Alexey K. Shaytan, Leonardo Mariño-Ramírez, Paul B. Talbert, David Landsman, Anna R. Panchenko

Database J. Biol. Databases Curation, 2016