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Giron CC, Laaksonen A, Barroso da Silva FL. Differences between Omicron SARS-CoV-2 RBD and other variants in their ability to interact with cell receptors and monoclonal antibodies. J Biomol Struct Dyn 2023; 41:5707-5727. [PMID: 35815535 DOI: 10.1080/07391102.2022.2095305] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/23/2022] [Indexed: 12/23/2022]
Abstract
SARS-CoV-2 remains a health threat with the continuous emergence of new variants. This work aims to expand the knowledge about the SARS-CoV-2 receptor-binding domain (RBD) interactions with cell receptors and monoclonal antibodies (mAbs). By using constant-pH Monte Carlo simulations, the free energy of interactions between the RBD from different variants and several partners (Angiotensin-Converting Enzyme-2 (ACE2) polymorphisms and various mAbs) were predicted. Computed RBD-ACE2-binding affinities were higher for two ACE2 polymorphisms (rs142984500 and rs4646116) typically found in Europeans which indicates a genetic susceptibility. This is amplified for Omicron (BA.1) and its sublineages BA.2 and BA.3. The antibody landscape was computationally investigated with the largest set of mAbs so far in the literature. From the 32 studied binders, groups of mAbs were identified from weak to strong binding affinities (e.g. S2K146). These mAbs with strong binding capacity and especially their combination are amenable to experimentation and clinical trials because of their high predicted binding affinities and possible neutralization potential for current known virus mutations and a universal coronavirus.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Universidade Federal do Triângulo Mineiro, Hospital de Clínicas, Uberaba, MG, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, Stockholm, Sweden
- State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, PR China
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Iasi, Romania
- Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, Luleå, Sweden
- Department of Chemical and Geological Sciences, University of Cagliari, Monserrato, Italy
| | - Fernando Luís Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
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Poveda Cuevas SA, Barroso da Silva FL, Etchebest C. NS1 from Two Zika Virus Strains Differently Interact with a Membrane: Insights to Understand Their Differential Virulence. J Chem Inf Model 2023; 63:1386-1400. [PMID: 36780300 DOI: 10.1021/acs.jcim.2c01461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Zika virus (ZIKV) from Uganda (UG) expresses a phenotype related to fetal loss, whereas the variant from Brazil (BR) induces microcephaly in neonates. The differential virulence has a direct relation to biomolecular mechanisms that make one strain more aggressive than the other. The nonstructural protein 1 (NS1) is a key viral toxin to comprehend these viral discrepancies because of its versatility in many processes of the virus life cycle. Here, we aim to examine through coarse-grained models and molecular dynamics simulations the protein-membrane interactions for both NS1ZIKV-UG and NS1ZIKV-BR dimers. A first evaluation allowed us to establish that the NS1 proteins, in the membrane presence, explore new conformational spaces when compared to systems simulated without a lipid bilayer. These events derive from both differential coupling patterns and discrepant binding affinities to the membrane. The N-terminal domain, intertwined loop, and greasy finger proposed previously as binding membrane regions were also computationally confirmed by us. The anchoring sites have aromatic and ionizable residues that manage the assembly of NS1 toward the membrane, especially for the Ugandan variant. Furthermore, in the presence of the membrane, the difference in the dynamic cross-correlation of residues between the two strains is particularly pronounced in the putative epitope regions. This suggests that the protein-membrane interaction induces changes in the distal part related to putative epitopes. Taken together, these results open up new strategies for the treatment of flaviviruses that would specifically target these dynamic differences.
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Affiliation(s)
- Sergio Alejandro Poveda Cuevas
- Programa Interunidades em Bioinformática, Universidade de São Paulo, Rua do Matão, 1010, São Paulo, São Paulo BR-05508-090, Brazil.,Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. do Café, s/no-Campus da USP, Ribeirão Preto, São Paulo BR-14040-903, Brazil.,Goethe University Frankfurt, Institute of Biochemistry II, Theodor-Stern-Kai 7, Frankfurt am Main, Hesse DE-60590, Germany.,Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo and Université de Paris International Laboratory in Structural Bioinformatics, Av. do Café, s/no-Campus da USP, Bloco B, Ribeirão Preto, São Paulo BR-14040-903, Brazil
| | - Fernando L Barroso da Silva
- Programa Interunidades em Bioinformática, Universidade de São Paulo, Rua do Matão, 1010, São Paulo, São Paulo BR-05508-090, Brazil.,Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. do Café, s/no-Campus da USP, Ribeirão Preto, São Paulo BR-14040-903, Brazil.,Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.,Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo and Université de Paris International Laboratory in Structural Bioinformatics, Av. do Café, s/no-Campus da USP, Bloco B, Ribeirão Preto, São Paulo BR-14040-903, Brazil
| | - Catherine Etchebest
- Université Paris Cité and Université des Antilles, INSERM, Biologie Intégrée du Globule Rouge, F-75015 Paris, France.,Faculdade de Ciências Farmacêuticas de Ribeirão Preto, University of São Paulo and Université de Paris International Laboratory in Structural Bioinformatics, Av. do Café, s/no-Campus da USP, Bloco B, Ribeirão Preto, São Paulo BR-14040-903, Brazil
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Neamtu A, Mocci F, Laaksonen A, Barroso da Silva FL. Towards an optimal monoclonal antibody with higher binding affinity to the receptor-binding domain of SARS-CoV-2 spike proteins from different variants. Colloids Surf B Biointerfaces 2023; 221:112986. [PMID: 36375294 PMCID: PMC9617679 DOI: 10.1016/j.colsurfb.2022.112986] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/13/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022]
Abstract
A highly efficient and robust multiple scales in silico protocol, consisting of atomistic Molecular Dynamics (MD), coarse-grain (CG) MD, and constant-pH CG Monte Carlo (MC), has been developed and used to study the binding affinities of selected antigen-binding fragments of the monoclonal antibody (mAbs) CR3022 and several of its here optimized versions against 11 SARS-CoV-2 variants including the wild type. Totally 235,000 mAbs structures were initially generated using the RosettaAntibodyDesign software, resulting in top 10 scored CR3022-like-RBD complexes with critical mutations and compared to the native one, all having the potential to block virus-host cell interaction. Of these 10 finalists, two candidates were further identified in the CG simulations to be the best against all SARS-CoV-2 variants. Surprisingly, all 10 candidates and the native CR3022 exhibited a higher affinity for the Omicron variant despite its highest number of mutations. The multiscale protocol gives us a powerful rational tool to design efficient mAbs. The electrostatic interactions play a crucial role and appear to be controlling the affinity and complex building. Studied mAbs carrying a more negative total net charge show a higher affinity. Structural determinants could be identified in atomistic simulations and their roles are discussed in detail to further hint at a strategy for designing the best RBD binder. Although the SARS-CoV-2 was specifically targeted in this work, our approach is generally suitable for many diseases and viral and bacterial pathogens, leukemia, cancer, multiple sclerosis, rheumatoid, arthritis, lupus, and more.
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Affiliation(s)
- Andrei Neamtu
- Department of Physiology, "Grigore T. Popa" University of Medicine and Pharmacy of Iasi, Str. Universitatii nr. 16, 700051 Iasi, România; TRANSCEND Centre - Regional Institute of Oncology (IRO) Iasi, Str. General Henri Mathias Berthelot, Nr. 2-4 Iași, România
| | - Francesca Mocci
- University of Cagliari, Department of Chemical and Geological Sciences, Campus Monserrato, SS 554 bivio per Sestu, 09042 Monserrato, Italy
| | - Aatto Laaksonen
- Centre of Advanced Research in Bionanoconjugates and Biopolymers, PetruPoni Institute of Macromolecular Chemistry Aleea Grigore Ghica-Voda, 41 A, 700487 Iasi, Romania; University of Cagliari, Department of Chemical and Geological Sciences, Campus Monserrato, SS 554 bivio per Sestu, 09042 Monserrato, Italy; Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden; State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing 210009, PR China; Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Fernando L Barroso da Silva
- Universidade de São Paulo, Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Av. café, s/no - campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
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Barroso da Silva FL, Giron CC, Laaksonen A. Electrostatic Features for the Receptor Binding Domain of SARS-COV-2 Wildtype and Its Variants. Compass to the Severity of the Future Variants with the Charge-Rule. J Phys Chem B 2022; 126:6835-6852. [PMID: 36066414 DOI: 10.1021/acs.jpcb.2c04225] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Electrostatic intermolecular interactions are important in many aspects of biology. We have studied the main electrostatic features involved in the interaction of the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein with the human receptor Angiotensin-converting enzyme 2 (ACE2). As the principal computational tool, we have used the FORTE approach, capable to model proton fluctuations and computing free energies for a very large number of protein-protein systems under different physical-chemical conditions, here focusing on the RBD-ACE2 interactions. Both the wild-type and all critical variants are included in this study. From our large ensemble of extensive simulations, we obtain, as a function of pH, the binding affinities, charges of the proteins, their charge regulation capacities, and their dipole moments. In addition, we have calculated the pKas for all ionizable residues and mapped the electrostatic coupling between them. We are able to present a simple predictor for the RBD-ACE2 binding based on the data obtained for Alpha, Beta, Gamma, Delta, and Omicron variants, as a linear correlation between the total charge of the RBD and the corresponding binding affinity. This "RBD charge rule" should work as a quick test of the degree of severity of the coming SARS-CoV-2 variants in the future.
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Affiliation(s)
- Fernando L Barroso da Silva
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. café, s/no-campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil.,Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Carolina Corrêa Giron
- Departamento de Ciências Biomoleculares, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Av. café, s/no-campus da USP, BR-14040-903 Ribeirão Preto, SP, Brazil.,Hospital de Clínicas, Universidade Federal do Triângulo Mineiro, Av. Getúlio Guaritá, 38025-440 Uberaba, MG, Brazil
| | - Aatto Laaksonen
- Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden.,State Key Laboratory of Materials-Oriented and Chemical Engineering, Nanjing Tech University, Nanjing, 210009, P. R. China.,Centre of Advanced Research in Bionanoconjugates and Biopolymers, Petru Poni Institute of Macromolecular Chemistry, Aleea Grigore Ghica-Voda, 41A, 700487 Iasi, Romania.,Department of Engineering Sciences and Mathematics, Division of Energy Science, Luleå University of Technology, SE-97187 Luleå, Sweden.,Department of Chemical and Geological Sciences, Campus Monserrato, University of Cagliari, SS 554 bivio per Sestu, 09042 Monserrato, Italy
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