Author

J. Procyk

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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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

P. Sulc· 2 shared A. Di Gioacchino· 1 shared A. Doherty· 1 shared A. Prasad· 1 shared E. Poppleton· 1 shared H. Liu· 1 shared H. Yan· 1 shared J. Jiang· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioengineering

P. Sulc

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Author profile →

2 papers

Recent·Most cited

IgG-inspired, multivalent protein-DNA nanostructures for high-affinity, tunable, and reversible binding to biomolecular targets

R. Zheng, Y. Xu, A. Prasad, M. Liu, Z. Wan, J. Jiang, X. Zhou, R. M. Porter, M. Sample, E. Poppleton, J. Procyk, H. Liu, A. Doherty, P. Nyaupane, Y. Li, , N. Stephanopoulos

This paper designs and tests a DNA-based synthetic antibody (nano-synbody) that binds SARS-CoV-2 spike proteins with high affinity and reversibility through multivalency.

bioRxiv · Sep 18, 2023 · PreprintBioengineering

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection

A. Di Gioacchino, J. Procyk, M. Molari, J. S. Schreck, Y. Zhou, Y. Liu, R. Monasson, S. Cocco, P. Sulc

This study uses Restricted Boltzmann Machines to analyze SELEX data for thrombin aptamers, enabling sequence fitness estimation, classification, and novel molecule generation, which is validated experimentally.

bioRxiv · Mar 12, 2022Biophysics