Author

E. Abeliuk

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

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:mechanistic / dynamical model· 1 Assay:metabolomics· 1 Organism:yeast· 1

Frequent Co-Authors

A. Perez· 1 shared A. Ramirez· 1 shared B. J. Sanchez· 1 shared H. G. Martin· 1 shared J. B. Nielsen· 1 shared J. D. Keasling· 1 shared J. Zhang· 1 shared M. Fero· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

A. Perez

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1 paper

Recent·Most cited

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