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Article . 2020 . Peer-reviewed
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Lasso-grafting of macrocyclic peptide pharmacophores yields multi-functional proteins

Authors: Emiko Mihara; Satoshi Watanabe; Nasir Bashiruddin; Nozomi Nakamura; Kyoko Matoba; Rumit Maini; Yizhen Yin; +5 Authors

Lasso-grafting of macrocyclic peptide pharmacophores yields multi-functional proteins

Abstract

Abstract Engineering of multifunctional recombinant proteins are a promising approach for devising next-generation proteinous drugs that engage specific receptors on cell(s), but it often requires drastic modifications of the parental protein scaffolds, e.g., additional domains at the N/C-terminus (or termini) or replacement of a domain to another. A discovery platform system, called RaPID (Random non-standard Peptides Integrated Discovery) system, has enabled for a rapid discovery of small de novo macrocyclic peptides that bind a target protein with high binding specificity and affinity. Taking the advantage of such exquisite properties of the RaPID-derived peptides, here we show that their pharmacophore sequences can be implanted to a surface-exposed loop or loops of recombinant proteins and maintain not only the parental peptide binding function(s) but also the host protein function. By applying this method, referred to as lasso-grafting, many different proteins including IgG and serum albumin could be endowed with binding capability toward various receptors, allowing us to quickly formulate bi-, tri-, and even tetra-specific binder molecules. Moreover, lasso-grafting of a receptor-targeting peptide to capsid proteins of adeno-associated virus (AAV) has generated engineered AAV vectors that can infect cells solely dependent on the targeted receptor.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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