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1.
Phys Chem Chem Phys ; 24(36): 22129-22143, 2022 Sep 21.
Artículo en Inglés | MEDLINE | ID: covidwho-2016863

RESUMEN

The pneumonia outbreak caused by the SARS-CoV-2 virus poses a serious threat to human health and the world economy. The development of safe and highly effective antiviral drugs is of great significance for the treatment of COVID-19. The main protease (Mpro) of SARS-CoV-2 is a key enzyme for viral replication and transcription and has no homolog in humans. Therefore, the Mpro is an ideal target for the design of drugs against COVID-19. Insights into the inhibitor-Mpro binding mechanism and conformational changes of the Mpro are essential for the design of potent drugs that target the Mpro. In this study, we analyzed the conformational changes of the Mpro that are induced by the binding of three inhibitors, YTV, YSP and YU4, using multiple replica accelerated molecular dynamics (MR-aMD) simulations, dynamic cross-correlation map (DCCM) calculations, principal component analysis (PCA), and free energy landscape (FEL) analysis. The results from DCCM calculations and PCA show that the binding of inhibitors significantly affects the kinetic behavior of the Mpro and induces a conformational rearrangement of the Mpro. The binding ability and binding mechanism of YTV, YSP and YU4 to the Mpro were investigated using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method. The results indicate that substitution of the tert-butanol group by methylbenzene and trifluoromethyl groups enhances the binding ability of YSP and YU4 to the Mpro compared with YTV; moreover, massive hydrophobic interactions are detected between the inhibitors and the Mpro. Meanwhile, T25, L27, H41, M49, N142, G143, C145, M165, E166 and Q189 are identified as the key residues for inhibitor-Mpro interactions using residue-based free energy decomposition calculations, which can be employed as efficient targets in the design of drugs that inhibit the activity of the Mpro.


Asunto(s)
COVID-19 , Simulación de Dinámica Molecular , Antivirales/química , Antivirales/farmacología , Proteasas 3C de Coronavirus , Cisteína Endopeptidasas/metabolismo , Reposicionamiento de Medicamentos/métodos , Humanos , Simulación del Acoplamiento Molecular , Péptido Hidrolasas/metabolismo , Inhibidores de Proteasas/química , SARS-CoV-2 , Proteínas no Estructurales Virales/metabolismo , Alcohol terc-Butílico
2.
Phys Chem Chem Phys ; 24(3): 1743-1759, 2022 Jan 19.
Artículo en Inglés | MEDLINE | ID: covidwho-1606147

RESUMEN

The outbreak caused by SARS-CoV-2 has received extensive worldwide attention. As the main protease (Mpro) in SARS-CoV-2 has no human homologues, it is feasible to reduce the possibility of targeting the host protein by accidental drugs. Thus, Mpro has been an attractive target of efficient drug design for anti-SARS-CoV-2 treatment. In this work, multiple replica molecular dynamics (MRMD) simulations, principal component analysis (PCA), free energy landscapes (FELs), and the molecular mechanics-generalized Born surface area (MM-GBSA) method were integrated together to decipher the binding mechanism of four inhibitors masitinib, O6K, FJC and GQU to Mpro. The results indicate that the binding of four inhibitors clearly affects the structural flexibility and internal dynamics of Mpro along with dihedral angle changes of key residues. The analysis of FELs unveils that the stability in the relative orientation and geometric position of inhibitors to Mpro is favorable for inhibitor binding. Residue-based free energy decomposition reveals that the inhibitor-Mpro interaction networks involving hydrogen bonding interactions and hydrophobic interactions provide significant information for the design of potent inhibitors against Mpro. The hot spot residues including H41, M49, F140, N142, G143, C145, H163, H164, M165, E166 and Q189 identified by computational alanine scanning are considered as reliable targets of clinically available inhibitors inhibiting the activities of Mpro.


Asunto(s)
Antivirales/química , Tratamiento Farmacológico de COVID-19 , Proteasas 3C de Coronavirus/antagonistas & inhibidores , Prolina/análogos & derivados , Prolina/química , SARS-CoV-2/efectos de los fármacos , Inhibidores de Proteasa Viral/química , Antivirales/farmacología , Diseño de Fármacos , Humanos , Simulación de Dinámica Molecular , Análisis de Componente Principal , Prolina/farmacología , Unión Proteica , Conformación Proteica , Relación Estructura-Actividad , Termodinámica , Inhibidores de Proteasa Viral/farmacología
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