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

Azhagiya Singam Ettayapuram Ramaprasad

ORCID: 0000-0003-4978-286X

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Structure-Based Virtual Screening of a Natural Product Database to Identify Several Possible SARS-CoV-2 Main Protease Inhibitors”.

Structure-Based Virtual Screening of a Natural Product Database to Identify Several Possible SARS-CoV-2 Main Protease Inhibitors

ChemRxiv(2020)10.26434/chemrxiv.12143394.v1

N/A

0DataRank · unranked

7 citations

Michele A. La Merrill, Kathleen A. Durkin, Martyn T. Smith, Azhagiya Singam Ettayapuram Ramaprasad

Structure-Based Virtual Screening of a Natural Product Database to Identify Several Possible SARS-CoV-2 Main Protease Inhibitors

ChemRxiv(2020)10.26434/chemrxiv.12143394

N/A

0DataRank · unranked

6 citations

Michele A. La Merrill, Kathleen A. Durkin, Martyn T. Smith, Azhagiya Singam Ettayapuram Ramaprasad

Structure-Based Virtual Screening of Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) as Endocrine Disruptors of Androgen Receptor Activity Using Molecular Docking and Machine Learning

ChemRxiv(2020)10.26434/chemrxiv.11886702

N/A

0DataRank · unranked

0 citations

Phum Tachachartvanich, Denis Fourches, Anatoly A. Soshilov, Jennifer C.Y. Hsieh, Michele A. La Merrill +3 more

Predicting the binding of small molecules to nuclear receptors using machine learning

Briefings in Bioinformatics(2022)10.1093/bib/bbac114

N/A

0DataRank · unranked

27 citations

Martyn T. Smith, David McCoy, Alan Hubbard, Michele A. La Merrill, Kathleen A. Durkin +1 more