Author

S. Matinyan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Assay:cryo-EM· 1 Research Focus:database / resource· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

J. P. Abrahams· 2 shared E. v. Genderen· 1 shared P. Filipcik· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBiophysics

J. P. Abrahams

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2 papers

Recent·Most cited

DiffGAN: a conditional generative adversarial network for phasing single molecule diffraction data to atomic resolution

S. Matinyan, P. Filipcik, E. v. Genderen, J. P. Abrahams

DiffGAN estimates missing phases in single molecule cryo-electron diffraction data to determine protein structures at atomic resolution using a conditional GAN.

bioRxiv · Feb 15, 2024 · PreprintBiophysics

TERSE: Efficient compression of the diffraction data

S. Matinyan, J. P. Abrahams

TERSE compresses diffraction data efficiently, achieving higher compression and speed compared to existing methods.

bioRxiv · May 10, 2023Biophysics