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Design of cyborg proteins by loop region replacement with oligo(ethylene glycol): exploring suitable mutations for cyborg protein construction using machine learning

Wijak Yospanya, Akari Matsumura, Yukihiro Imasato, Tomoyuki Itou, Yusuke Aoki, Hikaru Nakazawa, Takashi Matsui, Takeshi Yokoyama, Mihoko Ui, Mitsuo Umetsu, Satoru Nagatoishi, Kouhei Tsumoto, Yoshikazu Tanaka, Kazushi Kinbara

2024Bulletin of the Chemical Society of Japan16 citationsDOIOpen Access PDF

Abstract

Abstract We synthesized a “cyborg protein,” wherein a synthetic molecule partially substitutes the main peptide chain by linking 2 protein domains with a synthetic oligomer. Green fluorescent protein (GFP) served as the model for constructing the cyborg proteins. We prepared circularly permuted GFP (cpGFP) with new termini between β10 and β11, where the original N- and C-termini were linked by a cleavable peptide loop. The cyborg GFP was constructed from cpGFP by linking the β10 and β11 with oligo(ethylene glycol) (OEG) using maleimide–cysteine couplings, followed by the enzymatic cleavage of the N- and C-termini linking loop by thrombin. With the help of machine learning, we were able to obtain the cpGFP mutants that significantly alter the fluorescence intensity (53% increase) by thrombin treatment, which splits cpGFP into 2 fragments (fragmented GFP), and by heat shock. When the cyborg GFP was constructed using this mutant, the fluorescence intensity increased by 13% after heat treatment, similar to cpGFP (33% increase), and the behavior was significantly different from that of the fragmented GFP. This result suggests the possibility that the OEG chain in the cyborg protein plays a similar role to the peptide in the main chain of the protein.

Topics & Concepts

ChemistryEthylene glycolLoop (graph theory)Artificial intelligenceOrganic chemistryComputer scienceCombinatoricsMathematicsChemical Synthesis and AnalysisGenomics and Phylogenetic StudiesRNA and protein synthesis mechanisms
Design of cyborg proteins by loop region replacement with oligo(ethylene glycol): exploring suitable mutations for cyborg protein construction using machine learning | Litcius