silicon and Hepatitis-C

silicon has been researched along with Hepatitis-C* in 2 studies

Other Studies

2 other study(ies) available for silicon and Hepatitis-C

Article	Year
Design, synthesis and identification of silicon-containing HCV NS5A inhibitors with pan-genotype activity. European journal of medicinal chemistry, 2018, Mar-25, Volume: 148 Modification of a HCV NS5A inhibitor, ombitasvir, led to the identification of 10d with improved pan-genotype NS5A inhibition and better pharmacokinetic properties. The key structural changes to ombitasvir include bioisosteric replacement of carbon with silicon atom. Compared with ombitasvir, the activity of anti-HCV genotypes (GT 1 to 6) of 10d is increased to some extent, especially the inhibitory activity against genotype 3a and 6a is increased by more than seven times, and the dog's in vivo pharmacokinetics properties were also superior to ombitasvir. Further drug evaluation showed that 10d was similar to ombitasvir on plasma protein binding and liver distribution profiles, with no cytotoxicity and no inhibitory effect on both CYP 450 and hERG ligand binding. However, permeability assay results indicated that 10d was not the substrate of P-gp or BCRP transporter, which is different from that of ombitasvir. The results of a 14-day repeat-dose toxicity study identified no toxicity with 10d. Our findings in preclinical tests suggest that the silicon-containing compound 10d could be worthy of continued study as a potential drug candidate. Topics: Anilides; Animals; Antiviral Agents; Carbamates; Dogs; Drug Design; Enzyme Inhibitors; Genotype; Hepacivirus; Hepatitis C; Humans; Proline; Silicon; Valine; Viral Nonstructural Proteins	2018
Quantitative differentiation of multiple virus in blood using nanoporous silicon oxide immunosensor and artificial neural network. Biosensors & bioelectronics, 2017, Dec-15, Volume: 98 In spite of the rapid developments in various nanosensor technologies, it still remains challenging to realize a reliable ultrasensitive electrical biosensing platform which will be able to detect multiple viruses in blood simultaneously with a fairly high reproducibility without using secondary labels. In this paper, we have reported quantitative differentiation of Hep-B and Hep-C viruses in blood using nanoporous silicon oxide immunosensor array and artificial neural network (ANN). The peak frequency output (f Topics: Antibodies, Immobilized; Biosensing Techniques; Hepacivirus; Hepatitis B; Hepatitis B virus; Hepatitis C; Humans; Immunoassay; Limit of Detection; Nanopores; Neural Networks, Computer; Oxides; Silicon	2017

Article

Year

Design, synthesis and identification of silicon-containing HCV NS5A inhibitors with pan-genotype activity.

European journal of medicinal chemistry, 2018, Mar-25, Volume: 148

Modification of a HCV NS5A inhibitor, ombitasvir, led to the identification of 10d with improved pan-genotype NS5A inhibition and better pharmacokinetic properties. The key structural changes to ombitasvir include bioisosteric replacement of carbon with silicon atom. Compared with ombitasvir, the activity of anti-HCV genotypes (GT 1 to 6) of 10d is increased to some extent, especially the inhibitory activity against genotype 3a and 6a is increased by more than seven times, and the dog's in vivo pharmacokinetics properties were also superior to ombitasvir. Further drug evaluation showed that 10d was similar to ombitasvir on plasma protein binding and liver distribution profiles, with no cytotoxicity and no inhibitory effect on both CYP 450 and hERG ligand binding. However, permeability assay results indicated that 10d was not the substrate of P-gp or BCRP transporter, which is different from that of ombitasvir. The results of a 14-day repeat-dose toxicity study identified no toxicity with 10d. Our findings in preclinical tests suggest that the silicon-containing compound 10d could be worthy of continued study as a potential drug candidate.

Topics: Anilides; Animals; Antiviral Agents; Carbamates; Dogs; Drug Design; Enzyme Inhibitors; Genotype; Hepacivirus; Hepatitis C; Humans; Proline; Silicon; Valine; Viral Nonstructural Proteins

2018

Quantitative differentiation of multiple virus in blood using nanoporous silicon oxide immunosensor and artificial neural network.

Biosensors & bioelectronics, 2017, Dec-15, Volume: 98

In spite of the rapid developments in various nanosensor technologies, it still remains challenging to realize a reliable ultrasensitive electrical biosensing platform which will be able to detect multiple viruses in blood simultaneously with a fairly high reproducibility without using secondary labels. In this paper, we have reported quantitative differentiation of Hep-B and Hep-C viruses in blood using nanoporous silicon oxide immunosensor array and artificial neural network (ANN). The peak frequency output (f

Topics: Antibodies, Immobilized; Biosensing Techniques; Hepacivirus; Hepatitis B; Hepatitis B virus; Hepatitis C; Humans; Immunoassay; Limit of Detection; Nanopores; Neural Networks, Computer; Oxides; Silicon

2017