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González-Paz L, Lossada C, Hurtado-León ML, Vera-Villalobos J, Paz JL, Marrero-Ponce Y, Martinez-Rios F, Alvarado Y. Biophysical Analysis of Potential Inhibitors of SARS-CoV-2 Cell Recognition and Their Effect on Viral Dynamics in Different Cell Types: A Computational Prediction from In Vitro Experimental Data. ACS OMEGA 2024; 9:8923-8939. [PMID: 38434903 PMCID: PMC10905729 DOI: 10.1021/acsomega.3c06968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/20/2024] [Accepted: 02/05/2024] [Indexed: 03/05/2024]
Abstract
Recent reports have suggested that the susceptibility of cells to SARS-CoV-2 infection can be influenced by various proteins that potentially act as receptors for the virus. To investigate this further, we conducted simulations of viral dynamics using different cellular systems (Vero E6, HeLa, HEK293, and CaLu3) in the presence and absence of drugs (anthelmintic, ARBs, anticoagulant, serine protease inhibitor, antimalarials, and NSAID) that have been shown to impact cellular recognition by the spike protein based on experimental data. Our simulations revealed that the susceptibility of the simulated cell systems to SARS-CoV-2 infection was similar across all tested systems. Notably, CaLu3 cells exhibited the highest susceptibility to SARS-CoV-2 infection, potentially due to the presence of receptors other than ACE2, which may account for a significant portion of the observed susceptibility. Throughout the study, all tested compounds showed thermodynamically favorable and stable binding to the spike protein. Among the tested compounds, the anticoagulant nafamostat demonstrated the most favorable characteristics in terms of thermodynamics, kinetics, theoretical antiviral activity, and potential safety (toxicity) in relation to SARS-CoV-2 spike protein-mediated infections in the tested cell lines. This study provides mathematical and bioinformatic models that can aid in the identification of optimal cell lines for compound evaluation and detection, particularly in studies focused on repurposed drugs and their mechanisms of action. It is important to note that these observations should be experimentally validated, and this research is expected to inspire future quantitative experiments.
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Affiliation(s)
- Lenin González-Paz
- Centro
de Biomedicina Molecular (CBM). Laboratorio de Biocomputación
(LB),Instituto Venezolano de Investigaciones
Científicas (IVIC),Maracaibo, Zulia 4001, República Bolivariana de Venezuela
| | - Carla Lossada
- Centro
de Biomedicina Molecular (CBM). Laboratorio de Biocomputación
(LB),Instituto Venezolano de Investigaciones
Científicas (IVIC),Maracaibo, Zulia 4001, República Bolivariana de Venezuela
| | - María Laura Hurtado-León
- Facultad
Experimental de Ciencias (FEC). Departamento de Biología. Laboratorio
de Genética y Biología Molecular (LGBM),Universidad del Zulia (LUZ),Maracaibo 4001, República Bolivariana de Venezuela
| | - Joan Vera-Villalobos
- Facultad
de Ciencias Naturales y Matemáticas, Departamento de Química
y Ciencias Ambientales, Laboratorio de Análisis Químico
Instrumental (LAQUINS), Escuela Superior
Politécnica del Litoral, Guayaquil EC090112, Ecuador
| | - José L. Paz
- Departamento
Académico de Química Inorgánica, Facultad de
Química e Ingeniería Química, Universidad Nacional Mayor de San Marcos. Cercado de Lima, Lima 15081, Perú
| | - Yovani Marrero-Ponce
- Grupo
de Medicina Molecular y Traslacional (MeM&T), Colegio de Ciencias
de la Salud (COCSA), Escuela de Medicina, Edificio de Especialidades
Médicas; e Instituto de Simulación Computacional (ISC-USFQ),
Diego de Robles y vía Interoceánica, Universidad San Francisco de Quito (USFQ), Quito, Pichincha 170157, Ecuador
| | - Felix Martinez-Rios
- Universidad
Panamericana. Facultad de Ingeniería. Augusto Rodin 498, Ciudad de México 03920, México
| | - Ysaías.
J. Alvarado
- Centro
de Biomedicina Molecular (CBM). Laboratorio de Química Biofísica
Teórica y Experimental (LQBTE),Instituto
Venezolano de Investigaciones Científicas (IVIC),Maracaibo, Zulia 4001, República Bolivariana
de Venezuela
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Alvarado YJ, Olivarez Y, Lossada C, Vera-Villalobos J, Paz JL, Vera E, Loroño M, Vivas A, Torres FJ, Jeffreys LN, Hurtado-León ML, González-Paz L. Interaction of the new inhibitor paxlovid (PF-07321332) and ivermectin with the monomer of the main protease SARS-CoV-2: A volumetric study based on molecular dynamics, elastic networks, classical thermodynamics and SPT. Comput Biol Chem 2022; 99:107692. [PMID: 35640480 PMCID: PMC9107165 DOI: 10.1016/j.compbiolchem.2022.107692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/28/2022] [Accepted: 05/02/2022] [Indexed: 02/04/2023]
Abstract
The COVID-19 pandemic has accelerated the study of drugs, most notably ivermectin and more recently Paxlovid (PF-07321332) which is in phase III clinical trials with experimental data showing covalent binding to the viral protease Mpro. Theoretical developments of catalytic site-directed docking support thermodynamically feasible non-covalent binding to Mpro. Here we show that Paxlovid binds non-covalently at regions other than the catalytic sites with energies stronger than reported and at the same binding site as the ivermectin B1a homologue, all through theoretical methodologies, including blind docking. We volumetrically characterize the non-covalent interaction of the ivermectin homologues (avermectins B1a and B1b) and Paxlovid with the mMpro monomer, through molecular dynamics and scaled particle theory (SPT). Using the fluctuation-dissipation theorem (FDT), we estimated the electric dipole moment fluctuations at the surface of each of complex involved in this study, with similar trends to that observed in the interaction volume. Using fluctuations of the intrinsic volume and the number of flexible fragments of proteins using anisotropic and Gaussian elastic networks (ANM+GNM) suggests the complexes with ivermectin are more dynamic and flexible than the unbound monomer. In contrast, the binding of Paxlovid to mMpro shows that the mMpro-PF complex is the least structurally dynamic of all the species measured in this investigation. The results support a differential molecular mechanism of the ivermectin and PF homologues in the mMpro monomer. Finally, the results showed that Paxlovid despite beingbound in different sites through covalent or non-covalent forms behaves similarly in terms of its structural flexibility and volumetric behaviour.
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Affiliation(s)
- Ysaias José Alvarado
- Instituto Venezolano de Investigaciones Científicas (IVIC), Centro de Investigación y Tecnología de Materiales (CITeMA), Laboratorio de Caracterización Molecular y Biomolecular, 4001 Maracaibo, Bolivarian Republic of Venezuela,Corresponding author
| | - Yosmari Olivarez
- Universidad del Zulia (LUZ). Facultad Experimental de Ciencias (FEC), Departamento de Quimica, Laboratorio de Electronica Molecular, 4001 Maracaibo, Bolivarian Republic of Venezuela
| | - Carla Lossada
- Instituto Venezolano de Investigaciones Científicas (IVIC), Centro de Investigación y Tecnología de Materiales (CITeMA), Laboratorio de Caracterización Molecular y Biomolecular, 4001 Maracaibo, Bolivarian Republic of Venezuela
| | - Joan Vera-Villalobos
- Facultad de Ciencias Naturales y Matemáticas, Departamento de Química y Ciencias Ambientales, Laboratorio de Análisis Químico Instrumental (LAQUINS), Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador
| | - José Luis Paz
- Departamento Académico de Química Inorgánica, Facultad de Química e Ingeniería Química, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Eddy Vera
- Universidad del Zulia (LUZ). Facultad Experimental de Ciencias (FEC), Departamento de Quimica, Laboratorio de Electronica Molecular, 4001 Maracaibo, Bolivarian Republic of Venezuela
| | - Marcos Loroño
- Departamento Académico de Química Analítica e Instrumental, Facultad de Química e Ingeniería Química, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Alejandro Vivas
- Universidad del Zulia (LUZ). Facultad Experimental de Ciencias (FEC), Departamento de Quimica, Laboratorio de Electronica Molecular, 4001 Maracaibo, Bolivarian Republic of Venezuela
| | - Fernando Javier Torres
- Grupo de Química Computacional y Teórica (QCT-UR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia,Grupo de Química Computacional y Teórica (QCT-USFQ), Instituto de Simulación Computacional (ISC-USFQ), Departamento de Ingeniería Química, Universidad San Francisco de Quito (USFQ), Quito, Ecuador
| | - Laura N. Jeffreys
- Centre for Drugs and Diagnostics, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK
| | - María Laura Hurtado-León
- Universidad del Zulia (LUZ), Facultad Experimental de Ciencias (FEC), Departamento de Biología, Laboratorio de Genética y Biología Molecular (LGBM), Maracaibo 4001, Zulia, Bolivarian Republic of Venezuela
| | - Lenin González-Paz
- Universidad del Zulia (LUZ), Facultad Experimental de Ciencias (FEC), Departamento de Biología, Laboratorio de Genética y Biología Molecular (LGBM), Maracaibo 4001, Zulia, Bolivarian Republic of Venezuela,Instituto Venezolano de Investigaciones Científicas (IVIC), Centro de Estudios Botanicos y Agroforestales, (CEBA), Laboratorio de Proteccion Vegetal, 4001 Maracaibo, Bolivarian Republic of Venezuela,Corresponding author at: Instituto Venezolano de Investigaciones Científicas (IVIC), Centro de Estudios Botanicos y Agroforestales, (CEBA), Laboratorio de Proteccion Vegetal, 4001 Maracaibo, Bolivarian Republic of Venezuela
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