Author

A. Zelezniak

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· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Organism:yeast· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Assay:metabolomics· 1 Assay:protein sequence· 1

Frequent Co-Authors

L. Szyrwiel· 2 shared M. Muelleder· 2 shared M. Ralser· 2 shared S. Viknander· 2 shared X. Fu· 2 shared A. Freiwald· 1 shared B. Papp· 1 shared C. B. Messner· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 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 papersEvolutionary Biology

L. Szyrwiel

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The amino acid sequence determines protein abundance through its conformational stability and reduced synthesis cost.

F. Buric, S. Viknander, X. Fu, O. Lemke, J. Zrimec, L. Szyrwiel, M. Muelleder, M. Ralser, A. Zelezniak

This study shows that amino acid sequences determine protein abundance by affecting conformational stability and synthesis cost, using deep learning and yeast experiments.

bioRxiv · Oct 2, 2023Evolutionary Biology

Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks

S. R. Johnson, X. Fu, S. Viknander, C. Goldin, S. Monaco, A. Zelezniak, K. K. Yang

The paper evaluates computational metrics for predicting enzyme activity in sequences generated by three models and finds that existing metrics like sequence identity and AlphaFold2 scores are not predictive.

bioRxiv · Mar 4, 2023Biochemistry

Cell-cell metabolite exchange creates a pro-survival metabolic environment that extends lifespan

C. Correia-Melo, S. Kamrad, C. B. Messner, R. Tengolics, L. Herrera-Dominguez, S. Townsend, M. T. Alam, A. Freiwald, K. Campbell, S. Aulakh, L. Szyrwiel, J. S. L. Yu, A. Zelezniak, V. Demichev, M. Muelleder, , M. Ralser

The paper shows that metabolite exchange between cells extends lifespan in yeast by creating a pro-survival metabolic environment.

bioRxiv · Mar 7, 2022Biochemistry