Author

S. D. Petersen

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 Evolutionary Biology· 1 Zoology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Organism:yeast· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

M. K. Jensen· 2 shared A. B. Abildgaard· 1 shared A. Perez· 1 shared A. Ramirez· 1 shared A. Stein· 1 shared A. van der Marel· 1 shared B. J. Sanchez· 1 shared C. Andreasson· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 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 papersBiochemistry

M. K. Jensen

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

HSP70-binding motifs function as protein quality control degrons

A. B. Abildgaard, V. Voutsinos, S. D. Petersen, F. B. Larsen, C. Kampmeyer, K. E. Johansson, A. Stein, T. Ravid, C. Andreasson, M. K. Jensen, K. Lindorff-Larsen, R. Hartmann-Petersen

The paper shows that Hsp70-binding motifs can function as PQC degrons, targeting misfolded proteins for degradation in yeast and human cells.

bioRxiv · Dec 22, 2021Biochemistry

Evidence for an extreme founding effect in a highly successful invasive species

K. V. Kratzer, A. van der Marel, C. J. Garroway, M. Lopez-Darias, S. D. Petersen, J. M. Waterman

The paper estimates the founding population size and genetic diversity of Barbary ground squirrels on Fuerteventura, finding a genetic bottleneck despite their invasion success.

bioRxiv · Aug 4, 2020 · PreprintEvolutionary Biology

Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models

J. Zhang, S. D. Petersen, T. Radivojevic, A. Ramirez, A. Perez, E. Abeliuk, B. J. Sanchez, Z. Costello, Y. Chen, M. Fero, H. G. Martin, J. B. Nielsen, J. D. Keasling, M. K. Jensen

This study combines mechanistic and machine learning models to optimize tryptophan metabolism in yeast, achieving a 106% increase in tryptophan accumulation through predictive engineering.

bioRxiv · Nov 29, 2019 · PreprintBioengineering

Abundance estimation from genetic mark-recapture data when not all sites are sampled: an example with the bowhead whale

T. R. Frasier, S. D. Petersen, L. Postma, L. Johnson, M. P. Heide-Jorgensen, S. H. Ferguson

The paper develops a method to estimate population abundance using genetic mark-recapture data when not all sites are sampled, applying it to estimate the bowhead whale population size.

bioRxiv · Jul 18, 2019Zoology