Michael Brocidiacono

2022202320242 7 14

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David KoesAssociate Professor, University of PittsburghVerified email at pitt.edu
Alexander TropshaProfessor at UNC-Chapel HillVerified email at unc.edu
Nicholas Z RandolphPhD Candidate, UNC Chapel HillVerified email at unc.edu
Brian KuhlmanUniversity of North CarolinaVerified email at email.unc.edu
Henry DieckhausPhD Student, UNC Eshelman School of PharmacyVerified email at ad.unc.edu
Rishal AggarwalUniversity of PittsburghVerified email at pitt.edu
Paul G. FrancoeurPhD Student, University of PittsburghVerified email at pitt.edu

Michael Brocidiacono

PhD Student, UNC

Verified email at unc.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transfer learning to leverage larger datasets for improved prediction of protein stability changes H Dieckhaus, M Brocidiacono, NZ Randolph, B Kuhlman Proceedings of the National Academy of Sciences 121 (6), e2314853121, 2024	9	2024
BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening M Brocidiacono, P Francoeur, R Aggarwal, KI Popov, DR Koes, A Tropsha Journal of Chemical Information and Modeling, 2022	7	2022
Plantain: diffusion-inspired pose score minimization for fast and accurate molecular docking M Brocidiacono, KI Popov, DR Koes, A Tropsha ArXiv, 2023	4	2023
MOLUCINATE: A Generative Model for Molecules in 3D Space M Arcidiacono, DR Koes arXiv preprint arXiv:2109.15308, 2021	3	2021
An Improved Metric and Benchmark for Assessing the Performance of Virtual Screening Models M Brocidiacono, KI Popov, A Tropsha arXiv preprint arXiv:2403.10478, 2024		2024

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