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1.
Viruses ; 15(2)2023 01 28.
Artigo em Inglês | MEDLINE | ID: covidwho-2287279

RESUMO

Due to the rapid mutation of porcine epidemic diarrhea virus (PEDV), existing vaccines cannot provide sufficient immune protection for pigs. Therefore, it is urgent to design the affinity peptides for the prevention and control of this disease. In this study, we made use of a molecular docking technology for virtual screening of affinity peptides that specifically recognized the PEDV S1 C-terminal domain (CTD) protein for the first time. Experimentally, the affinity, cross-reactivity and sensitivity of the peptides were identified by an enzyme-linked immunosorbent assay (ELISA) and a surface plasmon resonance (SPR) test, separately. Subsequently, Cell Counting Kit-8 (CCK-8), quantitative real-time PCR (qRT-PCR), Western blot and indirect immunofluorescence were used to further study the antiviral effect of different concentrations of peptide 110766 in PEDV. Our results showed that the P/N value of peptide 110766 at 450 nm reached 167, with a KD value of 216 nM. The cytotoxic test indicated that peptide 110766 was not toxic to vero cells. Results of the absolute quantitative PCR revealed that different concentrations (3.125 µM, 6.25 µM, 12.5 µM, 25 µM, 50 µM, 100 µM, 200 µM) of peptide 110766 could significantly reduce the viral load of PEDV compared with the virus group (p < 0.0001). Similarly, results of Western blot and indirect immunofluorescence also suggested that the antiviral effect of peptide 110766 at 3.125 is still significant. Based on the above research, high-affinity peptide 110766 binding to the PEDV S1-CTD protein was attained by a molecular docking technology. Therefore, designing, screening, and identifying affinity peptides can provide a new method for the development of antiviral drugs for PEDV.


Assuntos
Vírus da Diarreia Epidêmica Suína , Chlorocebus aethiops , Animais , Suínos , Glicoproteína da Espícula de Coronavírus/genética , Simulação de Acoplamento Molecular , Células Vero , Peptídeos/farmacologia , Antivirais/farmacologia , Reação em Cadeia da Polimerase em Tempo Real
2.
Database (Oxford) ; 20202020 11 20.
Artigo em Inglês | MEDLINE | ID: covidwho-939558

RESUMO

DPL (http://www.peptide-ligand.cn/) is a comprehensive database of peptide ligand (DPL). DPL1.0 holds 1044 peptide ligand entries and provides references for the study of the polypeptide platform. The data were collected from PubMed-NCBI, PDB, APD3, CAMPR3, etc. The lengths of the base sequences are varied from 3 to78. DPL database has 923 linear peptides and 88 cyclic peptides. The functions of peptides collected by DPL are very wide. It includes 540 entries of antiviral peptides (including SARS-CoV-2), 55 entries of signal peptides, 48 entries of protease inhibitors, 45 entries of anti-hypertension, 37 entries of anticancer peptides, etc. There are 270 different kinds of peptide targets. All peptides in DPL have clear binding targets. Most of the peptides and receptors have 3D structures experimentally verified or predicted by CYCLOPS, I-TASSER and SWISS-MODEL. With the rapid development of the COVID-2019 epidemic, this database also collects the research progress of peptides against coronavirus. In conclusion, DPL is a unique resource, which allows users easily to explore the targets, different structures as well as properties of peptides.


Assuntos
Antivirais/química , Betacoronavirus/química , Bases de Dados de Produtos Farmacêuticos , Bases de Dados de Proteínas , Modelos Moleculares , Peptídeos/química , Sequência de Aminoácidos , Betacoronavirus/genética , Betacoronavirus/metabolismo , COVID-19 , Infecções por Coronavirus/tratamento farmacológico , Infecções por Coronavirus/metabolismo , Pandemias , Pneumonia Viral/tratamento farmacológico , Pneumonia Viral/metabolismo , Domínios Proteicos , SARS-CoV-2
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