Author

Arman Angaji

University of WashingtonORCID 0000-0001-7074-9429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:variational autoencoder· 1

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Armita NourmohammadiD· 1 shared Gian Marco VisaniiD· 1 shared Michael Neal PuniD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Armita NourmohammadORCID

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1 paper

Recent·Most cited

BioinformaticsPhysical Review ResearchPeer-reviewedApr 1, 2024

Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space

Gian Marco Visani, Michael Neal Pun, Arman Angaji, Armita Nourmohammad

This paper introduces H-(V)AE, an SO(3)-equivariant autoencoder in Fourier space for unsupervised learning and generation of 3D data, showing it can encode spherical images and predict protein-ligand binding affinity.

4 citations

protein structurevariational autoencoder

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