henhaobio
Sign in

International Journal of Biological MacromoleculesGenomicsPeer-reviewed journal article

Proximal relationships of moonlighting Proteins in Escherichia coli: a mathematical genomic perspective

Debaleena NawniD, Sk. Sarif HassaniD, Moumita SiliD, Ankita GhoshiD, Arunava GoswamiiD, Vladimir Nikolaevich UverskyiD

PDFDOIPreprint

Abstract

Moonlighting proteins in Escherichia coli (E.coli) perform multiple independent functions without altering their primary amino acid sequence, challenging the "one gene-one enzyme" hypothesis. Bacterial proteins serve various functions, including host cell adhesion, extracellular matrix interaction, and immune modulation, while also supporting essential physiological processes within the bacteria. Identifying these proteins in pathogens and tracking their genetic changes is crucial for understanding bacterial survival and virulence. A quantitative understanding of these proteins is pivotal as it enables the identification of specific patterns and relationships between amino acid composition, protein stability, and functional versatility. This study quantitatively analyzes fifty E. coli moonlighting proteins, focusing on their structural and functional features. Key findings include variability in amino acid composition, with alanine predominating, and a preference for non-polar residues, which may enhance protein stability. Quantitative features analyses identified seven distinct proximal sets, reflecting the proteins spatial arrangements of amino acids, structural diversity, and functional roles in processes such as metabolism, stress response, and gene regulation. These results deepen our understanding of the multifunctionality of E. coli moonlighting proteins, indicating their adaptability and implications for bacterial survival and pathogenicity.

Citations
2
FWCI
0.60
Field percentile
top 42%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISNawn '24Hassan '25Martínez‐Ma '26Zhang '25Liu '23Mollaei '23
57% semantic matchGenomics
Debaleena Nawn, Sk. Sarif Hassan, Moumita Sil+6 more·International Journal of Biological Macromolecules·Jan 3, 2024· 9 citations