Michael Brocidiacono

2022202320242 7 15

David KoesAssociate Professor, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Alexander TropshaProfessor at UNC-Chapel Hill在 unc.edu 的电子邮件经过验证
Nicholas Z RandolphPhD Candidate, UNC Chapel Hill在 unc.edu 的电子邮件经过验证
Brian KuhlmanUniversity of North Carolina在 email.unc.edu 的电子邮件经过验证
Henry DieckhausPhD Student, UNC Eshelman School of Pharmacy在 ad.unc.edu 的电子邮件经过验证
Rishal AggarwalUniversity of Pittsburgh在 pitt.edu 的电子邮件经过验证
Paul G. FrancoeurPhD Student, University of Pittsburgh在 pitt.edu 的电子邮件经过验证

PhD Student, UNC

在 unc.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	10	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 64 (7), 2488-2495, 2023	7	2023
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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