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Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking
by
Kerdwong, Jarunee
, Ruchirawat, Mathuros
, Tit-oon, Phanthakarn
, Godavarthi, Abhinav
, Miller, Nathaniel Loren
, Fuangthong, Mayuree
, Sasisekharan, Varun
, Sungkeeree, Pareenart
, Mahajan, Bhuvna
, Tharakaraman, Kannan
, Khongmanee, Amnart
, Sasisekharan, Ram
, Artpradit, Charlermchai
in
631/45/612/1256
/ 631/535/1267
/ Alanine
/ Alanine - chemistry
/ Alanine - genetics
/ Animals
/ Antibodies, Monoclonal - chemistry
/ Antibodies, Monoclonal - immunology
/ Antibodies, Monoclonal - metabolism
/ Antibodies, Neutralizing - chemistry
/ Antibodies, Neutralizing - immunology
/ Antibodies, Neutralizing - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - immunology
/ Antigen-Antibody Complex - metabolism
/ Antigens
/ Computer applications
/ Computer Simulation
/ Crystal structure
/ Epitopes
/ Epitopes - immunology
/ Glycoproteins
/ Glycoproteins - chemistry
/ Glycoproteins - genetics
/ Glycoproteins - metabolism
/ Henipavirus Infections - immunology
/ Henipavirus Infections - metabolism
/ Henipavirus Infections - virology
/ Humanities and Social Sciences
/ Humans
/ Hydrophobicity
/ Immunodominance
/ Monoclonal antibodies
/ multidisciplinary
/ Mutagenesis, Site-Directed
/ Nipah Virus - immunology
/ Nipah Virus - isolation & purification
/ Nipah Virus - metabolism
/ Protein Structural Elements - immunology
/ Scanning mutagenesis
/ Science
/ Science (multidisciplinary)
/ Viral Envelope Proteins - chemistry
/ Viral Envelope Proteins - genetics
/ Viral Envelope Proteins - metabolism
2020
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Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking
by
Kerdwong, Jarunee
, Ruchirawat, Mathuros
, Tit-oon, Phanthakarn
, Godavarthi, Abhinav
, Miller, Nathaniel Loren
, Fuangthong, Mayuree
, Sasisekharan, Varun
, Sungkeeree, Pareenart
, Mahajan, Bhuvna
, Tharakaraman, Kannan
, Khongmanee, Amnart
, Sasisekharan, Ram
, Artpradit, Charlermchai
in
631/45/612/1256
/ 631/535/1267
/ Alanine
/ Alanine - chemistry
/ Alanine - genetics
/ Animals
/ Antibodies, Monoclonal - chemistry
/ Antibodies, Monoclonal - immunology
/ Antibodies, Monoclonal - metabolism
/ Antibodies, Neutralizing - chemistry
/ Antibodies, Neutralizing - immunology
/ Antibodies, Neutralizing - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - immunology
/ Antigen-Antibody Complex - metabolism
/ Antigens
/ Computer applications
/ Computer Simulation
/ Crystal structure
/ Epitopes
/ Epitopes - immunology
/ Glycoproteins
/ Glycoproteins - chemistry
/ Glycoproteins - genetics
/ Glycoproteins - metabolism
/ Henipavirus Infections - immunology
/ Henipavirus Infections - metabolism
/ Henipavirus Infections - virology
/ Humanities and Social Sciences
/ Humans
/ Hydrophobicity
/ Immunodominance
/ Monoclonal antibodies
/ multidisciplinary
/ Mutagenesis, Site-Directed
/ Nipah Virus - immunology
/ Nipah Virus - isolation & purification
/ Nipah Virus - metabolism
/ Protein Structural Elements - immunology
/ Scanning mutagenesis
/ Science
/ Science (multidisciplinary)
/ Viral Envelope Proteins - chemistry
/ Viral Envelope Proteins - genetics
/ Viral Envelope Proteins - metabolism
2020
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Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking
by
Kerdwong, Jarunee
, Ruchirawat, Mathuros
, Tit-oon, Phanthakarn
, Godavarthi, Abhinav
, Miller, Nathaniel Loren
, Fuangthong, Mayuree
, Sasisekharan, Varun
, Sungkeeree, Pareenart
, Mahajan, Bhuvna
, Tharakaraman, Kannan
, Khongmanee, Amnart
, Sasisekharan, Ram
, Artpradit, Charlermchai
in
631/45/612/1256
/ 631/535/1267
/ Alanine
/ Alanine - chemistry
/ Alanine - genetics
/ Animals
/ Antibodies, Monoclonal - chemistry
/ Antibodies, Monoclonal - immunology
/ Antibodies, Monoclonal - metabolism
/ Antibodies, Neutralizing - chemistry
/ Antibodies, Neutralizing - immunology
/ Antibodies, Neutralizing - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - immunology
/ Antigen-Antibody Complex - metabolism
/ Antigens
/ Computer applications
/ Computer Simulation
/ Crystal structure
/ Epitopes
/ Epitopes - immunology
/ Glycoproteins
/ Glycoproteins - chemistry
/ Glycoproteins - genetics
/ Glycoproteins - metabolism
/ Henipavirus Infections - immunology
/ Henipavirus Infections - metabolism
/ Henipavirus Infections - virology
/ Humanities and Social Sciences
/ Humans
/ Hydrophobicity
/ Immunodominance
/ Monoclonal antibodies
/ multidisciplinary
/ Mutagenesis, Site-Directed
/ Nipah Virus - immunology
/ Nipah Virus - isolation & purification
/ Nipah Virus - metabolism
/ Protein Structural Elements - immunology
/ Scanning mutagenesis
/ Science
/ Science (multidisciplinary)
/ Viral Envelope Proteins - chemistry
/ Viral Envelope Proteins - genetics
/ Viral Envelope Proteins - metabolism
2020
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Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking
Journal Article
Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking
2020
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Overview
Nipah Virus (NiV) has been designated as a priority disease with an urgent need for therapeutic development by World Health Organization. The monoclonal antibody m102.4 binds to the immunodominant NiV receptor-binding glycoprotein (GP), and potently neutralizes NiV, indicating its potential as a therapeutic agent. Although the co-crystal structure of m102.3, an m102.4 derivative, in complex with the GP of the related Hendra Virus (HeV) has been solved, the structural interaction between m102.4 and NiV is uncharacterized. Herein, we used structure-guided alanine-scanning mutagenesis to map the functional epitope and paratope residues that govern the antigen–antibody interaction. Our results revealed that the binding of m102.4 is mediated predominantly by two residues in the HCDR3 region, which is unusually small for an antibody-antigen interaction. We performed computational docking to generate a structural model of m102.4-NiV interaction. Our model indicates that m102.4 targets the common hydrophobic central cavity and a hydrophilic rim on the GP, as observed for the m102.3-HeV co-crystal, albeit with Fv orientation differences. In summary, our study provides insight into the m102.4-NiV interaction, demonstrating that structure-guided alanine-scanning and computational modeling can serve as the starting point for additional antibody reengineering (e.g. affinity maturation) to generate potential therapeutic candidates.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Alanine
/ Animals
/ Antibodies, Monoclonal - chemistry
/ Antibodies, Monoclonal - immunology
/ Antibodies, Monoclonal - metabolism
/ Antibodies, Neutralizing - chemistry
/ Antibodies, Neutralizing - immunology
/ Antibodies, Neutralizing - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - immunology
/ Antigen-Antibody Complex - metabolism
/ Antigens
/ Epitopes
/ Henipavirus Infections - immunology
/ Henipavirus Infections - metabolism
/ Henipavirus Infections - virology
/ Humanities and Social Sciences
/ Humans
/ Nipah Virus - isolation & purification
/ Protein Structural Elements - immunology
/ Science
/ Viral Envelope Proteins - chemistry
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