Author

A. W. Golinski

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

B. J. Hackel· 2 shared D. T. Tresnak· 1 shared H. Pichman· 1 shared K. A. Fransen· 1 shared K. M. Mischler· 1 shared M. Fossing· 1 shared M. P. DeJong· 1 shared N. Neurock· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

B. J. Hackel

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2 papers

Recent·Most cited

A platform for deep sequence-activity mapping and engineering antimicrobial peptides

M. P. DeJong, S. C. Ritter, K. A. Fransen, D. T. Tresnak, A. W. Golinski, B. J. Hackel

The paper develops a platform to map antimicrobial peptide activity and identifies potent mutants through high-throughput sequencing.

bioRxiv · May 13, 2021Bioengineering

High-Throughput Developability Assays Enable Library-Scale Identification of Producible Protein Scaffold Variants

A. W. Golinski, K. M. Mischler, S. Laxminarayan, N. Neurock, M. Fossing, H. Pichman, S. Martiniani, B. J. Hackel

This study develops high-throughput assays to predict protein developability, enabling large-scale identification of producible variants with improved expression, solubility, and stability.

bioRxiv · Dec 14, 2020Bioengineering