Backbone Expansion via Enzyme-Mediated Side-Chain Transfer

There exists no straightforward strategy to generate protein materials containing internally spliced non-protein matter, especially at lengths and scales that support functional characterization. Here we describe Backbone Expansion via Enzyme-mediated Side-chain Transfer (BEST), a facile and general strategy for generating proteins containing internally spliced, non-protein matter at scale. Protein substrates for BEST contain a reactive glutamine (Gln), a backbone ester linkage, and a non-canonical side chain carrying a bioorthogonal reaction handle; the latter two elements are easily installed using a non-canonical ⍺-hydroxy acid. The bioorthogonal side chain is first extended via a click reaction with an element of non-protein matter that terminates in a primary amine. Treatment of this side-chain extended protein with transglutaminase (TGase) results in an intramolecular reaction between the glutamine side chain and the primary amine, generating an ester-containing macrocycle; selective cleavage of the macrocycle under basic conditions inserts the non-protein matter into the backbone with a minimal scar. Thus rather than excising an internal sequence element to restore polypeptide backbone continuity as in an intein-catalyzed reaction, BEST inserts diverse non-protein matter between two neighboring residues and subsequently cleaves the backbone between them. By transforming the protein backbone itself into an addressable locus for synthetic macromolecular integration, BEST establishes a general framework for constructing protein-polymer hybrids in which abiotic matter is not appended to a protein but structurally encoded within.

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Publication Details

Journal
ChemRxiv
Published
2026-11-10
DOI
https://doi.org/10.26434/chemrxiv.15011917/v1
Primary Topic
Click Chemistry and Applications
Type
preprint
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preprint

Backbone Expansion via Enzyme-Mediated Side-Chain Transfer

Meghna Bajaj, Helena Roberts-Mataric, Susan Marqusee, Christopher A. Alabi et al.
ChemRxiv
Click Chemistry and Applications
preprint

Backbone Expansion via Enzyme-Mediated Side-Chain Transfer

Meghna Bajaj, Helena Roberts-Mataric, Susan Marqusee, Christopher A. Alabi, Alanna Schepartz, Isabel M. Piper, Eva Gerber, Ivan Keresztes, Haley M. Moran, Anne M. Wampler
preprint en

Abstract

There exists no straightforward strategy to generate protein materials containing internally spliced non-protein matter, especially at lengths and scales that support functional characterization. Here we describe Backbone Expansion via Enzyme-mediated Side-chain Transfer (BEST), a facile and general strategy for generating proteins containing internally spliced, non-protein matter at scale. Protein substrates for BEST contain a reactive glutamine (Gln), a backbone ester linkage, and a non-canonical side chain carrying a bioorthogonal reaction handle; the latter two elements are easily installed using a non-canonical ⍺-hydroxy acid. The bioorthogonal side chain is first extended via a click reaction with an element of non-protein matter that terminates in a primary amine. Treatment of this side-chain extended protein with transglutaminase (TGase) results in an intramolecular reaction between the glutamine side chain and the primary amine, generating an ester-containing macrocycle; selective cleavage of the macrocycle under basic conditions inserts the non-protein matter into the backbone with a minimal scar. Thus rather than excising an internal sequence element to restore polypeptide backbone continuity as in an intein-catalyzed reaction, BEST inserts diverse non-protein matter between two neighboring residues and subsequently cleaves the backbone between them. By transforming the protein backbone itself into an addressable locus for synthetic macromolecular integration, BEST establishes a general framework for constructing protein-polymer hybrids in which abiotic matter is not appended to a protein but structurally encoded within.

ChemRxiv
Cornell University (US), University of California System (US)
Click Chemistry and Applications
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