🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Eli J. Draizen

University of Virginia

ORCID: 0000-0002-5645-5050
Biochemistry, Genetics and Molecular BiologyMaterials Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

5in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

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

Database(2016)10.1093/database/baw014
Top 6%
3.5DataRank
Top 6%156 citations

Alexey K. Shaytan, Leonardo Mariño-Ramírez, Paul B. Talbert, David Landsman, Anna R. Panchenko +1 more

Papers

Driven by 15 papers — median percentile 0. Top paper: “HistoneDB 2.0: a histone database with variants—an integrated resource to explore histones and their variants”.

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

Database(2016)10.1093/database/baw014
Top 6%
3.5DataRank
Top 6%156 citations

Alexey K. Shaytan, Leonardo Mariño-Ramírez, Paul B. Talbert, David Landsman, Anna R. Panchenko +1 more

Structural biology meets data science: does anything change?

Current Opinion in Structural Biology(2018)10.1016/j.sbi.2018.09.003
N/A
0.721DataRank · unranked
17 citations

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

Deep generative models of protein structure uncover distant relationships across a continuous fold space

Nature Communications(2024)10.1038/s41467-024-52020-2
N/A
0.544DataRank · unranked
11 citations

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

Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.29.501943
N/A
0.512DataRank · unranked
8 citations

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

The curse of the protein ribbon diagram

PLOS Biology(2022)10.1371/journal.pbio.3001901
N/A
0.340DataRank · unranked
7 citations

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

Machine Learning for Classification of Protein Helix Capping Motifs

2019 Systems and Information Engineering Design Symposium (SIEDS)(2019)10.1109/sieds.2019.8735646
N/A
0.336DataRank · unranked
2 citations

Ruoyan Chen, Sri Vaishnavi Vemulapalli, Eli J. Draizen, Ke Wang, Cameron Mura +2 more

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

BMC Bioinformatics(2024)10.1186/s12859-023-05586-5
N/A
0.281DataRank · unranked
5 citations

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

Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold’?

2020 Systems and Information Engineering Design Symposium (SIEDS)(2020)10.1109/sieds49339.2020.9106642
N/A
0.269DataRank · unranked
5 citations

Saad Saleem, Yonghyeon Kweon, Eli J. Draizen, Stella Veretnik, Cameron Mura +2 more

Harnessing Big Data for Systems Pharmacology

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/077115
N/A
0.241DataRank · unranked
4 citations

Eli J. Draizen, Philip E. Bourne, Lei Xie

Prop3D: A Flexible, Python-based Platform for Machine Learning with Protein Structural Properties and Biophysical Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.27.522071
N/A
0.220DataRank · unranked
3 citations

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

Prop3D-20

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6873023
Top 100%
0DataRank
Top 100%0 citations

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

Prop3D-20

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6873024
Top 100%
0DataRank
Top 100%0 citations

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

DeepUrfold Supplemental Material

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6916524
Top 100%
0DataRank
Top 100%0 citations

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

Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.16.516787
N/A
0DataRank · unranked
0 citations

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

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

Zenodo (CERN European Organization for Nuclear Research)(2024)10.5281/zenodo.6916523
Top 100%
0DataRank
Top 100%0 citations

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