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1.
J Biomol Struct Dyn ; : 1-13, 2024 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-38285617

RESUMO

In this study, the inhibitory potential of 99 fungal derived secondary metabolites was predicted against SARS-CoV-2 main protease by using of computational approaches. This protein plays an important role in replication and is one of the important targets to inhibit viral reproduction. Among the 99 reported compounds, the 9 of them with the highest binding energy to Mpro obtained from the molecular docking method were selected for the molecular dynamic simulations. The compounds were then investigated by using the SwissADME serve to evaluate the compounds in terms of pharmacokinetic and druglikness properties. The overall results of different analysis show that the compound RKS-1778 is potentially more effective than others and form strong complexes with viral protease. It also had better pharmacokinetic properties than other metabolites, so predicted to be a suitable candidate as anti SARS-CoV-2 bioactive.Communicated by Ramaswamy H. Sarma.

2.
J Int Med Res ; 51(7): 3000605231190473, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-37523589

RESUMO

Corneal diseases are among the most common causes of blindness worldwide. Regardless of the etiology, corneal opacity- or globe integrity-threatening conditions may necessitate corneal replacement procedures. Several procedure types are currently available to address these issues, based on the complexity and extent of injury. Corneal allograft or keratoplasty is considered to be first-line treatment in many cases. However, a significant proportion of the world's population are reported to have no access to this option due to limitations in donor preparation. Thus, providing an appropriate, safe, and efficient synthetic implant (e.g., artificial cornea) may revolutionize this field. Nanotechnology, with its potential applications, has garnered a lot of recent attention in this area, however, there is seemingly a long way to go. This narrative review provides a brief overview of the therapeutic interventions for corneal pathologies, followed by a summary of current biomaterials used in corneal regeneration and a discussion of the nanotechnologies that can aid in the production of superior implants.


Assuntos
Doenças da Córnea , Engenharia Tecidual , Humanos , Engenharia Tecidual/métodos , Materiais Biocompatíveis/uso terapêutico , Córnea/cirurgia , Doenças da Córnea/cirurgia , Nanotecnologia
3.
Comput Biol Med ; 135: 104613, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34242870

RESUMO

The newly emerged Coronavirus Disease 2019 (COVID-19) rapidly outspread worldwide and now is one of the biggest infectious pandemics in human society. In this study, the inhibitory potential of 99 secondary metabolites obtained from endophytic fungi was investigated against the new coronavirus RNA-dependent RNA polymerase (RdRp) using computational methods. A sequence of blind and targeted molecular dockings was performed to predict the more potent compounds on the viral enzyme. In the next step, the five selected compounds were further evaluated by molecular dynamics (MD) simulation. Moreover, the pharmacokinetics of the metabolites was assessed using SwissADME server. The results of molecular docking showed that compounds 18-methoxy cytochalasin J, (22E,24R)-stigmasta-5,7,22-trien-3-ß-ol, beauvericin, dankasterone B, and pyrrocidine A had higher binding energy than others. The findings of MD and SwissADME demonstrated that two fungal metabolites, 18-methoxy cytochalasin J and pyrrocidine A had better results than others in terms of protein instability, strong complex formation, and pharmacokinetic properties. In conclusion, it is recommended to further evaluate the compounds 18-methoxy cytochalasin J and pyrrocidine A in the laboratory as good candidates for inhibiting COVID-19.


Assuntos
Antivirais/farmacologia , RNA-Polimerase RNA-Dependente de Coronavírus/antagonistas & inibidores , Fungos/química , SARS-CoV-2/efeitos dos fármacos , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , RNA Polimerase Dependente de RNA
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