TY - JOUR
T1 - Molecular recognition of SARS-CoV-2 spike glycoprotein
T2 - quantum chemical hot spot and epitope analyses
AU - Watanabe, Chiduru
AU - Okiyama, Yoshio
AU - Tanaka, Shigenori
AU - Fukuzawa, Kaori
AU - Honma, Teruki
N1 - Funding Information:
The authors thank Dr Daisuke Takaya and Dr Kikuko Kamisaka at RIKEN for data registration in the FMO database (FMODB). CW acknowledges JST, PRESTO grant (JPMJPR18GD). This study was partially supported by the Platform Project for Supporting Drug Discovery and Life Science Research (Basis for Supporting Innovative Drug Discovery and Life Science Research) (BINDS) from the Japan Agency for Medical Research and Development (AMED) (grant number JP20am0101113). This research was supported by the RIKEN programs for Drug Discovery and Medical Technology Platforms (DMP) and COVID-19 project. This research was performed in the activities of the FMO drug design consortium (FMODD). The FMO calculations were partially performed using the Oakforest-PACS supercomputer (project ID: hp200101), the HOKUSAI supercomputer (RIKEN Advanced Center for Computing and Communications, Saitama, Japan), and the TSUBAME3.0 supercomputer (Tokyo Institute of Technology, Tokyo, Japan). PIEDA calculations were performed with the MIZUHO/BioStation software package (version 4.0). We also thank Editage (for English language editing.
Funding Information:
The authors thank Dr Daisuke Takaya and Dr Kikuko Kamisaka at RIKEN for data registration in the FMO database (FMODB). CW acknowledges JST, PRESTO grant (JPMJPR18GD). This study was partially supported by the Platform Project for Supporting Drug Discovery and Life Science Research (Basis for Supporting Innovative Drug Discovery and Life Science Research) (BINDS) from the Japan Agency for Medical Research and Development (AMED) (grant number JP20am0101113). This research was supported by the RIKEN programs for Drug Discovery and Medical Technology Platforms (DMP) and COVID-19 project. This research was performed in the activities of the FMO drug design consortium (FMODD). The FMO calculations were partially performed using the Oakforest-PACS supercomputer (project ID: hp200101), the HOKUSAI supercomputer (RIKEN Advanced Center for Computing and Communications, Saitama, Japan), and the TSUBAME3.0 supercomputer (Tokyo Institute of Technology, Tokyo, Japan). PIEDA calculations were performed with the MIZUHO/BioStation soware package (version 4.0). We also thank Editage (www.editage.jp) for English language editing.
Publisher Copyright:
© The Royal Society of Chemistry 2021.
PY - 2021/4/7
Y1 - 2021/4/7
N2 - Due to the COVID-19 pandemic, researchers have attempted to identify complex structures of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein (S-protein) with angiotensin-converting enzyme 2 (ACE2) or a blocking antibody. However, the molecular recognition mechanism—critical information for drug and antibody design—has not been fully clarified at the amino acid residue level. Elucidating such a microscopic mechanism in detail requires a more accurate molecular interpretation that includes quantum mechanics to quantitatively evaluate hydrogen bonds, XH/π interactions (X = N, O, and C), and salt bridges. In this study, we applied the fragment molecular orbital (FMO) method to characterize the SARS-CoV-2 S-protein binding interactions with not only ACE2 but also the B38 Fab antibody involved in ACE2-inhibitory binding. By analyzing FMO-based interaction energies along a wide range of binding interfaces carefully, we identified amino acid residues critical for molecular recognition between S-protein and ACE2 or B38 Fab antibody. Importantly, hydrophobic residues that are involved in weak interactions such as CH-O hydrogen bond and XH/π interactions, as well as polar residues that construct conspicuous hydrogen bonds, play important roles in molecular recognition and binding ability. Moreover, through these FMO-based analyses, we also clarified novel hot spots and epitopes that had been overlooked in previous studies by structural and molecular mechanical approaches. Altogether, these hot spots/epitopes identified between S-protein and ACE2/B38 Fab antibody may provide useful information for future antibody design, evaluation of the binding property of the SARS-CoV-2 variants including its N501Y, and small or medium drug design against the SARS-CoV-2.
AB - Due to the COVID-19 pandemic, researchers have attempted to identify complex structures of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein (S-protein) with angiotensin-converting enzyme 2 (ACE2) or a blocking antibody. However, the molecular recognition mechanism—critical information for drug and antibody design—has not been fully clarified at the amino acid residue level. Elucidating such a microscopic mechanism in detail requires a more accurate molecular interpretation that includes quantum mechanics to quantitatively evaluate hydrogen bonds, XH/π interactions (X = N, O, and C), and salt bridges. In this study, we applied the fragment molecular orbital (FMO) method to characterize the SARS-CoV-2 S-protein binding interactions with not only ACE2 but also the B38 Fab antibody involved in ACE2-inhibitory binding. By analyzing FMO-based interaction energies along a wide range of binding interfaces carefully, we identified amino acid residues critical for molecular recognition between S-protein and ACE2 or B38 Fab antibody. Importantly, hydrophobic residues that are involved in weak interactions such as CH-O hydrogen bond and XH/π interactions, as well as polar residues that construct conspicuous hydrogen bonds, play important roles in molecular recognition and binding ability. Moreover, through these FMO-based analyses, we also clarified novel hot spots and epitopes that had been overlooked in previous studies by structural and molecular mechanical approaches. Altogether, these hot spots/epitopes identified between S-protein and ACE2/B38 Fab antibody may provide useful information for future antibody design, evaluation of the binding property of the SARS-CoV-2 variants including its N501Y, and small or medium drug design against the SARS-CoV-2.
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U2 - 10.1039/d0sc06528e
DO - 10.1039/d0sc06528e
M3 - Article
AN - SCOPUS:85103891017
SN - 2041-6520
VL - 12
SP - 4722
EP - 4739
JO - Chemical Science
JF - Chemical Science
IS - 13
ER -