Author

Matt Raymond

University of MichiganORCID 0000-0001-6824-8692Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

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Angela VioliiD· 1 shared Jacob C. SaldingeriD· 1 shared Paolo ElvatiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Angela VioliORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 9, 2022

From proteins to nanoparticles: domain-agnostic predictions of nanoscale interactions.

Jacob C. Saldinger, Matt Raymond, Paolo Elvati, Angela Violi

This paper introduces NeCLAS, a machine learning pipeline that predicts nanoscale interactions across domains, outperforming existing models and showing cross-domain validity.

DOI 10.1101/2022.08.09.503361

protein structuremachine learning (classical)

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