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

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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-1892-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-93C9-B

Genre: Journal Article

Alternative Title : Computational and Structural Biotechnology Journal

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Creators:
Natale, R.¹, Author
Coppola, M.², Author
D'Agostino, N.², Author
Zhang, YJ¹, Author
Fernie, A. R.¹, Author
Castaldi, V.², Author
Rao, R.², Author

Affiliations:
1Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3396323
2external, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2022-12-10Date issued: 2023

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.csbj.2022.12.006

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Title: Computational and Structural Biotechnology Journal

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 21 Sequence Number: - Start / End Page: 212 - 223 Identifier: ISSN: 2001-0370
CoNE: https://pure.mpg.de/cone/journals/resource/2001-0370