Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Bioinformatics prediction and experimental validation of VH antibody fragment interacting with Neisseria meningitidis factor H binding protein

(2020) Bioinformatics prediction and experimental validation of VH antibody fragment interacting with Neisseria meningitidis factor H binding protein. Iranian Journal of Basic Medical Sciences. pp. 1053-1058. ISSN 2008-3866

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Abstract

Objective(s): We previously conducted an in silico research on the interactions between the ribosome display -selected single chain variable fragment (scFv) and factor H binding protein (fHbp) of Neisseria meningitidis . We found that heavy chain variable (VH) fragment of this scFv had considerable affinity to fHbp. These results led us to evaluate the ability of this small antibody fragment in binding and detection of fHbp antigen. Materials and Methods: In this study, at first, the three-dimensional structure of VH fragment was simulated by Kotai Antibody Builder web server. By using ClusPro 2.0 web server, the 3D structure of the soluble form of fHbp (PDB: 2KC0) was docked to the modeled VH fragment to extract the structure of the complex?s binding. Molecular dynamics (MD) simulation was carried out using GROMACS 4.5.3 package for 65 ns. Secondly, coding sequence of VH fragment was cloned separately and expressed in Escherichia coli . After purification of the VH fragment, its binding activity to fHbp protein was analyzed by enzyme -linked immunosorbent assay (ELISA) and surface plasmon resonance (SPR) method. Results: Important amino acids involved in antigen- antibody interaction were identified by analyzing the fHbp-VH complex. The ability of the VH antibody fragment to bind and detect fHbp antigen has been confirmed by the results of in silico analysis, ELISA and SPR methods. Conclusion: These results showed that this small fragment of antibody could be used for designing diagnostic kits.

Item Type: Article
Keywords: Cloning Heavy chain variable Modeling Molecular docking Surface plasmon resonance antigen Research & Experimental Medicine Pharmacology & Pharmacy
Page Range: pp. 1053-1058
Journal or Publication Title: Iranian Journal of Basic Medical Sciences
Journal Index: ISI
Volume: 23
Number: 8
Identification Number: https://doi.org/10.22038/ijbms.2020.44007.10318
ISSN: 2008-3866
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/8690

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