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

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Yuriy S. Moroz

Yuriy S. Moroz

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 3 papers. Top paper: “A Bag of Tricks for Automated De Novo Design of Molecules with the Desired Properties: Application to EGFR Inhibitor Discovery”.

A Bag of Tricks for Automated De Novo Design of Molecules with the Desired Properties: Application to EGFR Inhibitor Discovery

ChemRxiv(2021)10.26434/chemrxiv.14045072.v1

N/A

0DataRank · unranked

12 citations

Niles Huang, Stephen J. Capuzzi, Dmytro S. Radchenko, Olena Savych, Yuriy S. Moroz +5 more

Generative and reinforcement learning approaches for the automated de novo design of bioactive compounds

Communications Chemistry(2022)10.1038/s42004-022-00733-0

N/A

0DataRank · unranked

106 citations

Niles Huang, Stephen J. Capuzzi, Dmytro S. Radchenko, Olena Savych, Yuriy S. Moroz +5 more

Generative and reinforcement learning approaches for the automated de novo design of bioactive compounds

UNC Libraries(2024)10.17615/0ctx-9b56

N/A

0DataRank · unranked

0 citations

Stephen J. Capuzzi, Yuriy S. Moroz, Olena Savych, Alexander Tropsha, Carrow I. Wells +5 more