Michael Brocidiacono

University of North Carolina at Chapel Hill

Computer ScienceBiochemistry, 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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Transfer learning to leverage larger datasets for improved prediction of protein stability changes”.

Transfer learning to leverage larger datasets for improved prediction of protein stability changes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.27.550881

N/A

0.798DataRank · unranked

19 citations

Michael Brocidiacono, Nicholas Z. Randolph, Brian Kuhlman, Henry Dieckhaus

PLANTAIN: Diffusion-inspired Pose Score Minimization for Fast and Accurate Molecular Docking

arXiv (Cornell University)(2023)10.48550/arxiv.2307.12090

N/A

0.165DataRank · unranked

2 citations

Konstantin I. Popov, David Ryan Koes, Alexander Tropsha, Michael Brocidiacono

BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening

ChemRxiv(2022)10.26434/chemrxiv-2022-3qc9t-v2

N/A

0DataRank · unranked

3 citations

Paul Francoeur, Rishal Aggarwal, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha +1 more

BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening

ChemRxiv(2023)10.26434/chemrxiv-2022-3qc9t-v3

N/A

0DataRank · unranked

1 citations

Paul Francoeur, Rishal Aggarwal, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha +1 more