publications

2022

  1. preprint
    Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data
    Eli J. Draizen, Luis Felipe R. Murillo, John Readey, and 2 more authors
    2022
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  2. The curse of the protein ribbon diagram
    Philip E. Bourne, Eli J. Draizen, and Cameron Mura
    PLoS Biology Dec 2022
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  3. MLSB 2022
    Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe
    Eli J. Draizen, Cameron Mura, and Philip E. Bourne
    bioRxiv Dec 2022
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  4. preprint
    Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space
    Eli J. Draizen, Stella Veretnik, Cameron Mura, and 1 more author
    bioRxiv Dec 2022
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2020

  1. preprint
    Deep Learning of Protein Structural Classes: Any Evidence for an ’Urfold’?
    Menuka Jaiswal, Saad Saleem, Yonghyeon Kweon, and 4 more authors
    arXiv Dec 2020
    arXiv

2019

  1. Nurturing tomorrow’s leaders: The ISCB Student Council Symposia in 2018
    Daniele Parisi*, Gabriel J. Olguín-Orellana*, Eli J. Draizen*, and 2 more authors
    F1000Research Dec 2019
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  2. preprint
    Machine Learning for Classification of Protein Helix Capping Motifs
    Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli, and 4 more authors
    arXiv Dec 2019
    arXiv

2018

  1. The EVcouplings Python framework for coevolutionary sequence analysis
    Thomas A. Hopf,  ..., Eli J. Draizen, and 3 more authors
    Bioinformatics Dec 2018
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  2. Structural Biology Meets Data Science–Does Anything Change?
    Cameron Mura*, Eli J. Draizen*, and Philip E. Bourne
    Current Opinion in Structural Biology Dec 2018
    Abs arXiv

2017

  1. A restraints editor for generation and customisation of geometry restraints
    Nigel W. Moriarty, Eli J. Draizen, and Paul D. Adams
    Acta Cryst. D Feb 2017
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  2. Harnessing Big Data for Systems Pharmacology
    Lei Xie, Eli J. Draizen, and Philip E. Bourne
    Annu Rev Pharmacol Toxicol. Feb 2017
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2016

  1. HistoneDB 2.0: a histone database with variants – an integrated resource to explore histones and their variants
    Eli J. Draizen,  ..., David Landsman, and 1 more author
    Database Feb 2016
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