In silico and in vitro approaches allow the identification of the Prosystemin 
molecular network

Natale, R.; Coppola, M.; D'Agostino, N.; Zhang, YJ; Fernie, A. R.; Castaldi, V.; Rao, R.

doi:10.1016/j.csbj.2022.12.006

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

In silico and in vitro approaches allow the identification of the Prosystemin molecular network

MPS-Authors

/persons/resource/persons243030

Natale, R.
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

/persons/resource/persons135687

Zhang, YJ
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

/persons/resource/persons97147

Fernie, A. R.
Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Natale, R., Coppola, M., D'Agostino, N., Zhang, Y., Fernie, A. R., Castaldi, V., et al. (2023). In silico and in vitro approaches allow the identification of the Prosystemin molecular network. Computational and Structural Biotechnology Journal, 21, 212-223. doi:10.1016/j.csbj.2022.12.006.

Cite as: https://hdl.handle.net/21.11116/0000-000C-1892-4

Abstract

There is no abstract available