The molecular features of non-peptidic nucleophilic substrates and acceptor proteins determine the efficiency of sortagging

Sortase A-mediated ligation (SML) or "sortagging" has become a popular technology to selectively introduce structurally diverse protein modifications. Despite the great progress in the optimization of the reaction conditions and design of miscellaneous C- or N-terminal protein modification strategies, the reported yields of conjugates are highly variable. In this study, we have systematically investigated C-terminal protein sortagging efficiency using a combination of several rationally selected and modified acceptor proteins and a panel of incoming surrogate non-peptidic amine nucleophile substrates varying in the structural features of their amino linker parts and cargo molecules. Our data suggest that the sortagging efficiency is modulated by the combination of molecular features of the incoming nucleophilic substrate, including the ionization properties of the reactive amino group, structural recognition of the nucleophilic amino linker by the enzyme, as well as the molecular nature of the attached payload moiety. Previous reports have confirmed that the steric accessibility of the C-terminal SrtA recognition site in the acceptor protein is also the critical determinant of sortase reaction efficiency. We suggest a computational procedure for simplifying <i>a priori</i> predictions of sortagging outcomes through the structural assessment of the acceptor protein and introduction of a peptide linker, if deemed necessary.

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Publication Details

Journal
RSC Chemical Biology
Published
2024-12-26
DOI
https://doi.org/10.1039/d4cb00246f
Primary Topic
Biochemical and Structural Characterization
Type
article
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article

The molecular features of non-peptidic nucleophilic substrates and acceptor proteins determine the efficiency of sortagging

В. С. Броварец, Sergey Zozulya, Oleksandr Pokholenko, Oleh Shyshlyk et al.
RSC Chemical Biology
Biochemical and Structural Characterization
article

The molecular features of non-peptidic nucleophilic substrates and acceptor proteins determine the efficiency of sortagging

В. С. Броварец, Sergey Zozulya, Oleksandr Pokholenko, Oleh Shyshlyk, Yevhenii V. Hrynyshyn, Tetiana Bondarchuk, E Zhuravel, Diana Vaskiv, Oleksandr Nedialko, Mariana Kuznietsova, Alla Pogribna, Mykhaylo O. Debelyy
article en

Abstract

Sortase A-mediated ligation (SML) or "sortagging" has become a popular technology to selectively introduce structurally diverse protein modifications. Despite the great progress in the optimization of the reaction conditions and design of miscellaneous C- or N-terminal protein modification strategies, the reported yields of conjugates are highly variable. In this study, we have systematically investigated C-terminal protein sortagging efficiency using a combination of several rationally selected and modified acceptor proteins and a panel of incoming surrogate non-peptidic amine nucleophile substrates varying in the structural features of their amino linker parts and cargo molecules. Our data suggest that the sortagging efficiency is modulated by the combination of molecular features of the incoming nucleophilic substrate, including the ionization properties of the reactive amino group, structural recognition of the nucleophilic amino linker by the enzyme, as well as the molecular nature of the attached payload moiety. Previous reports have confirmed that the steric accessibility of the C-terminal SrtA recognition site in the acceptor protein is also the critical determinant of sortase reaction efficiency. We suggest a computational procedure for simplifying <i>a priori</i> predictions of sortagging outcomes through the structural assessment of the acceptor protein and introduction of a peptide linker, if deemed necessary.

RSC Chemical BiologyVol. 6(2)
Taras Shevchenko National University of Kyiv (UA), Institute of Bioorganic Chemistry and Petrochemistry V.P. Kukhar (UA), Enamine (Ukraine) (UA), Institute of Molecular Biology and Genetics (UA), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 79%
Biochemical and Structural Characterization
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