BACKGROUND: Bioanalytical methods that enable rapid and high-detail characterization of binding specificities and strengths of protein complexes with low sample consumption are highly desired. The interaction between a camelid single domain antibody (sdAbCSP1) and its target antigen (PfCSP-Cext) was selected as a model system to provide proof-of-principle for the here described methodology. RESEARCH DESIGN AND METHODS: The structure of the sdAbCSP1 - PfCSP-Cext complex was modeled using AlphaFold2. The recombinantly expressed proteins, sdAbCSP1, PfCSP-Cext, and the sdAbCSP1 - PfCSP-Cext complex, were subjected to limited proteolysis and mass spectrometric peptide analysis. ITEM MS (Intact Transition Epitope Mapping Mass Spectrometry) and ITC (Isothermal Titration Calorimetry) were applied to determine stoichiometry and binding strength. RESULTS: The paratope of sdAbCSP1 mainly consists of its CDR3 (aa100-118). PfCSP-Cext's epitope is assembled from its α-helix (aa40-52) and opposing loop (aa83-90). PfCSP-Cext's GluC cleavage sites E46 and E58 were shielded by complex formation, confirming the predicted epitope. Likewise, sdAbCSP1's tryptic cleavage sites R105 and R108 were shielded by complex formation, confirming the predicted paratope. ITEM MS determined the 1:1 stoichiometry and the high complex binding strength, exemplified by the gas phase dissociation reaction enthalpy of 50.2 kJ/mol. The in-solution complex dissociation constant is 5 Ã 10(-10) M. CONCLUSIONS: Combining AlphaFold2 modeling with mass spectrometry/limited proteolysis generated a trustworthy model for the sdAbCSP1 - PfCSP-Cext complex interaction interface.
Mass spectrometry-complemented molecular modeling predicts the interaction interface for a camelid single-domain antibody targeting the Plasmodium falciparum circumsporozoite protein's C-terminal domain.
质谱互补分子建模预测了针对恶性疟原虫环子孢子蛋白 C 端结构域的骆驼科单域抗体的相互作用界面
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作者:Opuni Kwabena F M, Ruà Manuela, Geens Rob, Vocht Line De, Wielendaele Pieter Van, Debuy Christophe, Sterckx Yann G-J, Glocker Michael O
| 期刊: | Computational and Structural Biotechnology Journal | 影响因子: | 4.100 |
| 时间: | 2024 | 起止号: | 2024 Aug 28; 23:3300-3314 |
| doi: | 10.1016/j.csbj.2024.08.023 | 研究方向: | 免疫/内分泌 |
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