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1.
Protein Sci ; 32(12): e4833, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37937856

RESUMO

Viral pathogenesis typically involves numerous molecular mechanisms. Protein aggregation is a relatively unknown characteristic of viruses, despite the fact that viral proteins have been shown to form terminally misfolded forms. Zika virus (ZIKV) is a neurotropic one with the potential to cause neurodegeneration. Its protein amyloid aggregation may link the neurodegenerative component to the pathogenicity associated with the viral infection. Therefore, we investigated protein aggregation in the ZIKV proteome as a putative pathogenic route and one of the alternate pathways. We discovered that it contains numerous anticipated aggregation-prone regions in this investigation. To validate our prediction, we used a combination of supporting experimental techniques routinely used for morphological characterization and study of amyloid aggregates. Several ZIKV proteins and peptides, including the full-length envelope protein, its domain III (EDIII) and fusion peptide, Pr N-terminal peptide, NS1 ß-roll peptide, membrane-embedded signal peptide 2K, and cytosolic region of NS4B protein, were shown to be highly aggregating in our study. Because our findings show that viral proteins can form amyloids in vitro, we need to do a thorough functional study of these anticipated APRs to understand better the role of amyloids in the pathophysiology of ZIKV infection.


Assuntos
Infecção por Zika virus , Zika virus , Humanos , Zika virus/metabolismo , Agregados Proteicos , Anticorpos Antivirais , Proteínas do Envelope Viral/química , Peptídeos/metabolismo , Proteínas Amiloidogênicas/metabolismo
2.
Nat Commun ; 14(1): 945, 2023 02 20.
Artigo em Inglês | MEDLINE | ID: mdl-36806058

RESUMO

The phenomenon of protein aggregation is associated with a wide range of human diseases. Our knowledge of the aggregation behaviour of viral proteins, however, is still rather limited. Here, we investigated this behaviour in the SARS-CoV and SARS-CoV-2 proteomes. An initial analysis using a panel of sequence-based predictors suggested the presence of multiple aggregation-prone regions (APRs) in these proteomes and revealed a strong aggregation propensity in some SARS-CoV-2 proteins. We then studied the in vitro aggregation of predicted aggregation-prone SARS-CoV and SARS-CoV-2 proteins and protein regions, including the signal sequence peptide and fusion peptides 1 and 2 of the spike protein, a peptide from the NSP6 protein, and the ORF10 and NSP11 proteins. Our results show that these peptides and proteins can form amyloid aggregates. We used circular dichroism spectroscopy to reveal the presence of ß-sheet rich cores in aggregates and X-ray diffraction and Raman spectroscopy to confirm the formation of amyloid structures. Furthermore, we demonstrated that SARS-CoV-2 NSP11 aggregates are toxic to mammalian cell cultures. These results motivate further studies about the possible role of aggregation of SARS proteins in protein misfolding diseases and other human conditions.


Assuntos
COVID-19 , Coronavírus Relacionado à Síndrome Respiratória Aguda Grave , Humanos , Animais , Proteínas Amiloidogênicas , Proteoma , SARS-CoV-2 , Mamíferos
3.
ACS Chem Neurosci ; 13(15): 2281-2287, 2022 08 03.
Artigo em Inglês | MEDLINE | ID: mdl-35856925

RESUMO

A strong association between protein aggregation and human diseases (such as Alzheimer's, Parkinson's, and Huntington's disease) is well demonstrated. Misfolding and aggregation of p53, a central transcriptional mediator, has been revealed by various experimental evidence in different types of cancers. Aggregation studies focusing on different p53 domains, mostly, the central core domain and its mutants under the influence of various environmental conditions, and the p53 transactivation domain (TAD) (1-63) have been reported. However, the specific subdomains responsible for p53 aggregation are not known. p53 TADs interact with diverse cellular factors to modulate the function of p53 and elicit appropriate cellular responses under different stress conditions. In this study, the aggregation of the p53 TAD2 domain (38-61) has been studied in isolation. The aggregates were generated in vitro under acidic pH conditions after in silico scoring for amyloidogenic tendency and characterized using dye-based assays (ThT and bis-ANS fluorescence), CD spectroscopy, and microscopy (scanning electron microscoy, transmission electron microscopy, and atomic force microscopy). It was observed that p53 TAD2 forms characteristic ß-sheet-rich amyloid-like fibrils. Via a reductionist approach, this study highlights the nature of p53 TAD2 domain (38-61) aggregation.


Assuntos
Amiloidose , Proteína Supressora de Tumor p53 , Amiloide/metabolismo , Proteínas Amiloidogênicas/metabolismo , Humanos , Agregados Proteicos , Proteína Supressora de Tumor p53/genética , Proteína Supressora de Tumor p53/metabolismo
4.
J Biomol Struct Dyn ; 40(7): 3170-3184, 2022 04.
Artigo em Inglês | MEDLINE | ID: mdl-33179586

RESUMO

Given the COVID-19 pandemic, currently, there are many drugs in clinical trials against this virus. Among the excellent drug targets of SARS-CoV-2 are its proteases (Nsp3 and Nsp5) that plays vital role in polyprotein processing giving rise to functional nonstructural proteins, essential for viral replication and survival. Nsp5 (also known as Mpro) hydrolyzes replicase polyprotein (1ab) at eleven different sites. For targeting Mpro, we have employed drug repurposing approach to identify potential inhibitors of SARS-CoV-2 in a shorter time span. Screening of approved drugs through docking reveals Hyaluronic acid and Acarbose among the top hits which are showing strong interactions with catalytic site residues of Mpro. We have also performed docking of drugs Lopinavir, Ribavirin, and Azithromycin on SARS-CoV-2 Mpro. Further, binding of these compounds (Hyaluronic acid, Acarbose, and Lopinavir) is validated by extensive molecular dynamics simulation of 500 ns where these drugs show stable binding with Mpro. We believe that the high-affinity binding of these compounds will help in designing novel strategies for structure-based drug discovery against SARS-CoV-2.Communicated by Ramaswamy H. Sarma.


Assuntos
Tratamento Farmacológico da COVID-19 , Pandemias , Proteases 3C de Coronavírus , Humanos , Simulação de Acoplamento Molecular , Inibidores de Proteases/química , Inibidores de Proteases/farmacologia , SARS-CoV-2
5.
Expert Rev Vaccines ; 19(9): 887-898, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32815406

RESUMO

INTRODUCTION: The ongoing life-threatening pandemic of coronavirus disease 2019 (COVID-19) has extensively affected the world. During this global health crisis, it is fundamentally crucial to find strategies to combat SARS-CoV-2. Despite several efforts in this direction and continuing clinical trials, no vaccine has been approved for it yet. METHODS: To find a preventive measure, we have computationally designed a multi-epitopic subunit vaccine using immuno-informatic approaches. RESULTS: The structural proteins of SARS-CoV-2 involved in its survival and pathogenicity were used to predict antigenic epitopes. The antigenic epitopes were capable of eliciting a strong humoral as well as cell-mediated immune response, our predictions suggest. The final vaccine was constructed by joining the all epitopes with specific linkers and to enhance their stability and immunogenicity. The physicochemical property of the vaccine was assessed. The vaccine 3D structure prediction and validation were done and docked with the human TLR-3 receptor. Furthermore, molecular dynamics simulations of the vaccine-TLR-3 receptor complex are employed to assess its dynamic motions and binding stability in-silico. CONCLUSION: Based on this study, we strongly suggest synthesizing this vaccine, which further can be tested in-vitro and in-vivo to check its potency in a cure for COVID-19.


Assuntos
Betacoronavirus/imunologia , Infecções por Coronavirus/prevenção & controle , Epitopos/imunologia , Imunidade Celular , Imunidade Humoral , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Vacinas Virais/imunologia , COVID-19 , Vacinas contra COVID-19 , Simulação por Computador , Infecções por Coronavirus/imunologia , Infecções por Coronavirus/virologia , Epitopos de Linfócito B/imunologia , Epitopos de Linfócito T/imunologia , Humanos , Imunogenicidade da Vacina , Simulação de Acoplamento Molecular , Pneumonia Viral/virologia , SARS-CoV-2 , Vacinas de Subunidades Antigênicas/imunologia
6.
Biomolecules ; 10(5)2020 05 21.
Artigo em Inglês | MEDLINE | ID: mdl-32455657

RESUMO

The 26S proteasome is a large (~2.5 MDa) protein complex consisting of at least 33 different subunits and many other components, which form the ubiquitin proteasomal system (UPS), an ATP-dependent protein degradation system in the cell. UPS serves as an essential component of the cellular protein surveillance machinery, and its dysfunction leads to cancer, neurodegenerative and immunological disorders. Importantly, the functions and regulations of proteins are governed by the combination of ordered regions, intrinsically disordered protein regions (IDPRs) and molecular recognition features (MoRFs). The structure-function relationships of UPS components have not been identified completely; therefore, in this study, we have carried out the functional intrinsic disorder and MoRF analysis for potential neurodegenerative disease and anti-cancer targets of this pathway. Our report represents the presence of significant intrinsic disorder and disorder-based binding regions in several UPS proteins, such as extraproteasomal polyubiquitin receptors (UBQLN1 and UBQLN2), proteasome-associated polyubiquitin receptors (ADRM1 and PSMD4), deubiquitinating enzymes (DUBs) (ATXN3 and USP14), and ubiquitinating enzymes (E2 (UBE2R2) and E3 (STUB1) enzyme). We believe this study will have implications for the conformation-specific roles of different regions of these proteins. This will lead to a better understanding of the molecular basis of UPS-associated diseases.


Assuntos
Proteínas Intrinsicamente Desordenadas/química , Neoplasias/metabolismo , Doenças Neurodegenerativas/metabolismo , Complexo de Endopeptidases do Proteassoma/química , Ubiquitinação , Proteínas Adaptadoras de Transdução de Sinal/química , Proteínas Adaptadoras de Transdução de Sinal/metabolismo , Ataxina-3/química , Ataxina-3/metabolismo , Proteínas Relacionadas à Autofagia/química , Proteínas Relacionadas à Autofagia/metabolismo , Humanos , Peptídeos e Proteínas de Sinalização Intracelular/química , Peptídeos e Proteínas de Sinalização Intracelular/metabolismo , Proteínas Intrinsicamente Desordenadas/metabolismo , Complexo de Endopeptidases do Proteassoma/metabolismo , Ligação Proteica , Dobramento de Proteína , Mapas de Interação de Proteínas , Proteínas de Ligação a RNA/química , Proteínas de Ligação a RNA/metabolismo , Proteínas Repressoras/química , Proteínas Repressoras/metabolismo , Ubiquitina Tiolesterase/química , Ubiquitina Tiolesterase/metabolismo , Enzimas Ativadoras de Ubiquitina/química , Enzimas Ativadoras de Ubiquitina/metabolismo , Ubiquitina-Proteína Ligases/química , Ubiquitina-Proteína Ligases/metabolismo
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