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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.

ABSTRACT: 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.

SUBMITTER: Tit-Oon P

PROVIDER: S-EPMC7588459 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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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.

Tit-Oon Phanthakarn P Tharakaraman Kannan K Artpradit Charlermchai C Godavarthi Abhinav A Sungkeeree Pareenart P Sasisekharan Varun V Kerdwong Jarunee J Miller Nathaniel Loren NL Mahajan Bhuvna B Khongmanee Amnart A Ruchirawat Mathuros M Sasisekharan Ram R Fuangthong Mayuree M

Scientific reports 20201026 1

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 a ...[more]

PMID: 33106487

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Project description:Nipah virus (NiV) and Hendra virus (HeV) are highly pathogenic paramyxovirus which belongs to Henipavirus family, causes severe respiratory disease, and may lead to fatal encephalitis infections in humans. NiV and HeV glycoproteins (G) bind to the highly conserved human ephrin-B2 and B3 (EFNB2 & EFNB3) cell surface proteins to mediate the viral entry. In this study, various molecular modelling approaches were employed to understand protein-protein interaction (PPI) of NiV and HeV glycoprotein (84% sequence similarity) with Human EFN (B2 and B3) to investigate the molecular mechanism of interaction at atomic level. Our computational study emphasized the PPI profile of both the viral glycoproteins with EFN (B2 and B3) in terms of non-bonded contacts, H-bonds, salt bridges, and identification of interface hotspot residues which play a critical role in the formation of complexes that mediate viral fusion and entry into the host cell. According to the reports, EFNB2 is considered to be more actively involved in the attachment with the NiV and HeV glycoprotein; interestingly the current computational study has displayed more conformational stability in HeV/NiV glycoprotein with EFNB2 complex with relatively high binding energy as compared to EFNB3. During the MD simulation, the number of H-bond formations was observed to be less in the case of EFNB3 complexes, which may be the possible reason for less conformational stability in the EFNB3 complexes. The current detailed interaction study on the PPI may put a path forward in designing peptide inhibitors to obstruct the interaction of viral glycoproteins with host proteins, thereby inhibiting viral entry.Graphical abstractThe viral attachment and fusion of Nipah and Hendra virus was explored through the interaction between viral glycoprotein and the host cell surface ephrin protein. The MD simulation results displayed more stability in Nipah and Hendra glycoprotein with EFNB2 as compared to EFNB3. The residue Glu533 in the central cavity of HeV/NiV glycoprotein protein identified as the potential hotspot in binding with the G-H loop of EFNB2.Supplementary informationThe online version contains supplementary material available at 10.1007/s12039-022-02110-9.

Project description:The Paramyxoviridae family comprises important pathogens that include measles (MeV), mumps, parainfluenza, and the emerging deadly zoonotic Nipah virus (NiV) and Hendra virus (HeV). Paramyxoviral entry into cells requires viral-cell membrane fusion, and formation of paramyxoviral pathognomonic syncytia requires cell-cell membrane fusion. Both events are coordinated by intricate interactions between the tetrameric attachment (G/H/HN) and trimeric fusion (F) glycoproteins. We report that receptor binding induces conformational changes in NiV G that expose its stalk domain, which triggers F through a cascade from prefusion to prehairpin intermediate (PHI) to postfusion conformations, executing membrane fusion. To decipher how the NiV G stalk may trigger F, we introduced cysteines along the G stalk to increase tetrameric strength and restrict stalk mobility. While most point mutants displayed near-wild-type levels of cell surface expression and receptor binding, most yielded increased NiV G oligomeric strength, and showed remarkably strong defects in syncytium formation. Furthermore, most of these mutants displayed stronger F/G interactions and significant defects in their ability to trigger F, indicating that NiV G stalk mobility is key to proper F triggering via moderate G/F interactions. Also remarkably, a mutant capable of triggering F and of fusion pore formation yielded little syncytium formation, implicating G or G/F interactions in a late step occurring post fusion pore formation, such as the extensive fusion pore expansion required for syncytium formation. This study uncovers novel mechanisms by which the G stalk and its oligomerization/mobility affect G/F interactions, the triggering of F, and a late fusion pore expansion step-exciting novel findings for paramyxoviral attachment glycoproteins. IMPORTANCE The important Paramyxoviridae family includes measles, mumps, human parainfluenza, and the emerging deadly zoonotic Nipah virus (NiV) and Hendra virus (HeV). The deadly emerging NiV can cause neurologic and respiratory symptoms in humans with a >60% mortality rate. NiV has two surface proteins, the receptor binding protein (G) and fusion (F) glycoproteins. They mediate the required membrane fusion during viral entry into host cells and during syncytium formation, a hallmark of paramyxoviral and NiV infections. We previously discovered that the G stalk domain is important for triggering F (via largely unknown mechanisms) to induce membrane fusion. Here, we uncovered new roles and mechanisms by which the G stalk and its mobility modulate the triggering of F and also unexpectedly affect a very late step in membrane fusion, namely fusion pore expansion. Importantly, these novel findings may extend to other paramyxoviruses, offering new potential targets for therapeutic interventions.

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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.

Publications

Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking.

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