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

Andrew M. Watkins

Environmental Protection Agency

ORCID: 0000-0003-1617-1720

Also affiliated with Research Triangle Park Foundation, Triangle, Campbell Clinic, Kaiser Permanente South San Francisco Medical Center, La Roche College, Sunesis (United States)

Biochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile
3.9Author DataRank

Indexed papers

2in 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 2 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.

De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

Nucleic Acids Research(2021)10.1093/nar/gkab119
Top 8%
2.8DataRank
Top 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

Papers

Driven by 26 papers — median percentile 87. Top paper: “De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures”.

De novo3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

Nucleic Acids Research(2021)10.1093/nar/gkab119
Top 8%
2.8DataRank
Top 8%85 citations

Andrew M. Watkins, Jose Chacon, Rachael C. Kretsch, Wipapat Kladwang, Ivan N. Zheludev +5 more

De novo 3D models of SARS-CoV-2 RNA elements and small-molecule-binding RNAs to aid drug discovery

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.14.041962
Top 19%
1.1DataRank
Top 19%21 citations

Andrew M. Watkins, Jose Chacon, Wipapat Kladwang, Ivan N. Zheludev, Jill Townley +4 more

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Nature Communications(2022)10.1038/s41467-022-28776-w
N/A
0.896DataRank · unranked
391 citations

Gun Woo Byeon, Wipapat Kladwang, Hannah K. Wayment-Steele, Craig H. Kerr, Adele Xu +24 more

Computationally designed peptide macrocycle inhibitors of New Delhi metallo-β-lactamase 1

Proceedings of the National Academy of Sciences(2021)10.1073/pnas.2012800118
N/A
0.657DataRank · unranked
79 citations

Sean D. Workman, Tianjun Sun, Stephen Rettie, Xinting Li, L.J. Worrall +12 more

Deep learning models for predicting RNA degradation via dual crowdsourcing

Nature Machine Intelligence(2022)10.1038/s42256-022-00571-8
N/A
0.606DataRank · unranked
56 citations

Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade +24 more

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.29.437587
N/A
0.561DataRank · unranked
41 citations

Gun Woo Byeon, Wipapat Kladwang, Hannah K. Wayment-Steele, Craig H. Kerr, Adele Xu +16 more

Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

Nature Communications(2021)10.1038/s41467-021-27222-7
N/A
0.500DataRank · unranked
27 citations

Sergey Lyskov, Steven M. Lewis, Jared Adolf‐Bryfogle, Rebecca F. Alford, Kyle A. Barlow +45 more

Lab-in-the-loop therapeutic antibody design with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.19.639050
N/A
0.483DataRank · unranked
24 citations

Isidro Hötzel, Samuel D. Stanton, Ryan L. Kelly, Robert G. Alberstein, Emily K. Makowski +68 more

Computationally-guided design and selection of high performing ribosomal active site mutants

Nucleic Acids Research(2022)10.1093/nar/gkac1036
N/A
0.385DataRank · unranked
12 citations

Andrew M. Watkins, Do Soon Kim, Jessica Willi, Alexandra C Wooldredge, Ashty S. Karim +3 more

RNA 3D modeling with FARFAR2, online

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.26.399451
N/A
0.319DataRank · unranked
4 citations

Rhiju Das, Andrew M. Watkins

Theoretical basis for stabilizing messenger RNA through secondary structure design

Nucleic Acids Research(2021)10.1093/nar/gkab764
N/A
0DataRank · unranked
187 citations

Do Soon Kim, Christian A. Choe, John J. Nicol, Roger Wellington-Oguri, Andrew M. Watkins +5 more

Computational design of mixed chirality peptide macrocycles with internal symmetry

Protein Science(2020)10.1002/pro.3974
N/A
0DataRank · unranked
36 citations

Christine S. Kang, M.R. Sawaya, Stephen Rettie, Xinting Li, I. Antselovich +7 more

Better together: Elements of successful scientific software development in a distributed collaborative community

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007507
N/A
0DataRank · unranked
44 citations

Brian D. Weitzner, P. Douglas Renfrew, Steven M. Lewis, Rocco Moretti, Andrew M. Watkins +20 more

RiboDraw: semiautomated two-dimensional drawing of RNA tertiary structure diagrams

NAR Genomics and Bioinformatics(2021)10.1093/nargab/lqab091
N/A
0DataRank · unranked
20 citations

Andrew M. Watkins, Rhiju Das

FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds

Structure(2020)10.1016/j.str.2020.05.011
N/A
0DataRank · unranked
288 citations

Ramya Rangan, Rhiju Das, Andrew M. Watkins

Community science designed ribosomes with beneficial phenotypes

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.05.458952
N/A
0DataRank · unranked
7 citations

Andrew M. Watkins, Roger Wellington-Oguri, Jonathan Romano, Camila Kofman, Alysse DeFoe +9 more

Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.04.438423
N/A
0DataRank · unranked
4 citations

Sergey Lyskov, Steven M. Lewis, Jared Adolf‐Bryfogle, Rebecca F. Alford, Kyle A. Barlow +43 more

RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers

RNA(2020)10.1261/rna.075341.120
N/A
0DataRank · unranked
173 citations

Ryszard W. Adamiak, Maciej Antczak, M. Boniecki, Janusz M. Bujnicki, Shi‐Jie Chen +45 more

Accelerated cryo-EM-guided determination of three-dimensional RNA-only structures

Nature Methods(2020)10.1038/s41592-020-0878-9
N/A
0DataRank · unranked
191 citations

Kaiming Zhang, Zhaoming Su, Andrew M. Watkins, Wipapat Kladwang, Shanshan Li +8 more

Three-dimensional structure-guided evolution of a ribosome with tethered subunits

Nature Chemical Biology(2022)10.1038/s41589-022-01064-w
N/A
0DataRank · unranked
21 citations

Andrew M. Watkins, Erik J. Bidstrup, Joongoo Lee, Ved V. Topkar, Camila Kofman +7 more

Macrocyclic β‐Sheets Stabilized by Hydrogen Bond Surrogates

Angewandte Chemie International Edition(2023)10.1002/anie.202303943
N/A
0DataRank · unranked
20 citations

Brandon Lu, Nicholas Sawyer, Andrew M. Watkins, Paramjit S. Arora, Alex Nazzaro

Community science designed ribosomes with beneficial phenotypes

Nature Communications(2023)10.1038/s41467-023-35827-3
N/A
0DataRank · unranked
16 citations

Andrew M. Watkins, Roger Wellington-Oguri, Jonathan Romano, Camila Kofman, Alysse DeFoe +9 more

Cryo-EM-guided engineering of T-box-tRNA modules with enhanced selectivity and sensitivity in translational regulation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.28.530422
N/A
0DataRank · unranked
5 citations

Chong Zhang, Bingnan Luo, Jane K. Frandsen, Andrew M. Watkins, Kaiyu Li +6 more

Adding Diverse Noncanonical Backbones to Rosetta: Enabling Peptidomimetic Design

UNC Libraries(2020)10.17615/xrww-m716
N/A
0DataRank · unranked
0 citations

Brooke N. Bullock, Richard Bonneau, Paramjit S. Arora, Kent Kirshenbaum, Timothy W. Craven +14 more

RNA-Puzzles Round V: blind predictions of 23 RNA structures

Nature Methods(2024)10.1038/s41592-024-02543-9
N/A
0DataRank · unranked
65 citations

Yagoub Adam, Ryszard W. Adamiak, Maciej Antczak, Belisa R. H. de Aquino, Nagendar Goud Badepally +94 more

Geometric deep learning of RNA structure

Science(2021)10.1126/science.abe5650
N/A
0DataRank · unranked
451 citations

Stephan Eismann, Andrew M. Watkins, Ramya Rangan, Masha Karelina, Rhiju Das +2 more