Research Article

Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches

Volume: 4 Number: 1 June 26, 2023
EN

Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches

Abstract

Iron-plant interactions have crucial roles in crop production growth and development. In this study, we have analyzed the whole proteome of tomato (Solanum lycopersicum L.) plants for iron-binding proteins. A total of 213 iron-binding protein candidates were identified in the study. Out of these 213 proteins, 45 were selected for modeling and validated with a high confidence level by using different computational analyses. Results showed that Glu, Cys, Asp, and His amino acid residues were indicators of iron-binding proteins. Besides, mechanistic insights of iron-binding proteins were analyzed by molecular dynamics simulations. Simulation results proved the conformational stabilization of proteins. Validated proteins were further analyzed for subcellular localization, clustered for molecular functions and biological processes. According to the results, iron-binding proteins were mostly located in the chloroplast. Also, these proteins are involved in different molecular and biological roles ranging from oxidation-reduction processes and electron transport chain to protein repair mechanisms. This report provides structural and functional properties of iron-binding proteins for tomato proteome. The study may assist in future research on plant physiology, protein engineering, or bioengineering.

Keywords

References

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Details

Primary Language

English

Subjects

Structural Biology

Journal Section

Research Article

Publication Date

June 26, 2023

Submission Date

March 10, 2023

Acceptance Date

June 9, 2023

Published in Issue

Year 2023 Volume: 4 Number: 1

APA
Küçükçobanoğlu, Y., & Aktaş, L. (2023). Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches. Bulletin of Biotechnology, 4(1), 17-29. https://doi.org/10.51539/biotech.1262979
AMA
1.Küçükçobanoğlu Y, Aktaş L. Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches. Bull. Biotechnol. 2023;4(1):17-29. doi:10.51539/biotech.1262979
Chicago
Küçükçobanoğlu, Yiğit, and Lale Aktaş. 2023. “Functional and Structural Identification of Iron-Binding Proteins on Tomato (Solanum Lycopersicum L.) Proteome via in Silico Approaches”. Bulletin of Biotechnology 4 (1): 17-29. https://doi.org/10.51539/biotech.1262979.
EndNote
Küçükçobanoğlu Y, Aktaş L (June 1, 2023) Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches. Bulletin of Biotechnology 4 1 17–29.
IEEE
[1]Y. Küçükçobanoğlu and L. Aktaş, “Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches”, Bull. Biotechnol., vol. 4, no. 1, pp. 17–29, June 2023, doi: 10.51539/biotech.1262979.
ISNAD
Küçükçobanoğlu, Yiğit - Aktaş, Lale. “Functional and Structural Identification of Iron-Binding Proteins on Tomato (Solanum Lycopersicum L.) Proteome via in Silico Approaches”. Bulletin of Biotechnology 4/1 (June 1, 2023): 17-29. https://doi.org/10.51539/biotech.1262979.
JAMA
1.Küçükçobanoğlu Y, Aktaş L. Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches. Bull. Biotechnol. 2023;4:17–29.
MLA
Küçükçobanoğlu, Yiğit, and Lale Aktaş. “Functional and Structural Identification of Iron-Binding Proteins on Tomato (Solanum Lycopersicum L.) Proteome via in Silico Approaches”. Bulletin of Biotechnology, vol. 4, no. 1, June 2023, pp. 17-29, doi:10.51539/biotech.1262979.
Vancouver
1.Yiğit Küçükçobanoğlu, Lale Aktaş. Functional and structural identification of iron-binding proteins on tomato (Solanum lycopersicum L.) proteome via in silico approaches. Bull. Biotechnol. 2023 Jun. 1;4(1):17-29. doi:10.51539/biotech.1262979