Author

U. Parekh

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

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:protein structure· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:protein design· 1

Frequent Co-Authors

P. Huang· 2 shared A. Ernst· 1 shared A. Kassardjian· 1 shared A. Li· 1 shared A. Mobedi· 1 shared A. Sperberg· 1 shared B. Bell· 1 shared C. A. Choe· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

P. Huang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A general platform for targeting MHC-II antigens via a single loop

H. Du, J. Liu, K. M. Jude, X. Yang, Y. Li, B. Bell, H. Yang, A. Kassardjian, A. Mobedi, U. Parekh, A. Sperberg, J.-P. Julien, E. Mellins, K. C. Garcia, P. Huang

This paper introduces TRACeR-II, a platform for developing MHC-II binders using a single loop, demonstrating its versatility and applicability to SARS-CoV-2 peptides.

bioRxiv · Jan 26, 2024 · PreprintBioengineering

HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling

O. Lazareva, J. P. Malm, M. Simovic-Lorenz, G. Philippos, P. Sant, U. Parekh, L. Hammann, A. Li, U. Yildiz, M. Marttinen, J. B. Zaugg, K. M. Noh, O. Stegle, A. Ernst

HIPSD&R-seq profiles genomic copy number and transcriptomes in thousands of cells, enabling rare clone detection in human cell models and primary tissue.

bioRxiv · Oct 9, 2023 · PreprintCancer Biology

Deep Generative Design of Epitope-Specific Binding Proteins by Latent Conformation Optimization

R. R. Eguchi, C. A. Choe, U. Parekh, I. S. Khalek, M. D. Ward, N. Vithani, G. R. Bowman, J. G. Jardine, P. Huang

This paper introduces Sculptor, a deep generative algorithm for designing epitope-specific binding proteins by optimizing loop conformations and backbone structures.

bioRxiv · Dec 22, 2022 · PreprintBiochemistry