Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

Sasamoto, Kana; Yasuda, Takanobu; Zhu, Bo; Ueda, Hiroshi; Kitaguchi, Tetsuya

doi:10.1039/d3an01499a

The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.

Analyst

2023

DOI: 10.1039/d3an01499a

|View full text |Cite

Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

Kana Sasamoto,

Takanobu Yasuda,

Bo Zhu

et al.

Abstract: We developed fluorescent probes that rapidly optimize linkers using the strong heterodimer formation of the peptide pair to generate biosensors with high response.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 26 publications

(48 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Nanobody engineering: computational modelling and design for biomedical and therapeutic applications

El Salamouni,

Cater,

Spenkelink

et al. 2024

FEBS Open Bio

View full text Add to dashboard Cite

Nanobodies, the smallest functional antibody fragment derived from camelid heavy‐chain‐only antibodies, have emerged as powerful tools for diverse biomedical applications. In this comprehensive review, we discuss the structural characteristics, functional properties, and computational approaches driving the design and optimisation of synthetic nanobodies. We explore their unique antigen‐binding domains, highlighting the critical role of complementarity‐determining regions in target recognition and specificity. This review further underscores the advantages of nanobodies over conventional antibodies from a biosynthesis perspective, including their small size, stability, and solubility, which make them ideal candidates for economical antigen capture in diagnostics, therapeutics, and biosensing. We discuss the recent advancements in computational methods for nanobody modelling, epitope prediction, and affinity maturation, shedding light on their intricate antigen‐binding mechanisms and conformational dynamics. Finally, we examine a direct example of how computational design strategies were implemented for improving a nanobody‐based immunosensor, known as a Quenchbody. Through combining experimental findings and computational insights, this review elucidates the transformative impact of nanobodies in biotechnology and biomedical research, offering a roadmap for future advancements and applications in healthcare and diagnostics.

show abstract

Nanobody engineering: computational modelling and design for biomedical and therapeutic applications

El Salamouni,

Cater,

Spenkelink

et al. 2024

FEBS Open Bio

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

Abstract: We developed fluorescent probes that rapidly optimize linkers using the strong heterodimer formation of the peptide pair to generate biosensors with high response.

Cited by 1 publication

References 26 publications

Nanobody engineering: computational modelling and design for biomedical and therapeutic applications

Nanobody engineering: computational modelling and design for biomedical and therapeutic applications

Contact Info

Product

Resources

About