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Akademický článek

Dose-dependent effects of siRNA-mediated inhibition of SCAP on PCSK9, LDLR, and plasma lipids in mouse and rhesus monkey[S]

Publikováno v: Journal of Lipid Research, Vol 57, Iss 12, Pp 2150-2162 (2016)

SREBP cleavage-activating protein (SCAP) is a key protein in the regulation of lipid metabolism and a potential target for treatment of dyslipidemia. SCAP is required for activation of the transcription factors SREBP-1 and -2. SREBPs regulate the exp

Externí odkaz: https://doaj.org/article/bd0a1abbb701431196775362cf9f8457

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Akademický článek

High Resolution Discovery Proteomics Reveals Candidate Disease Progression Markers of Alzheimer's Disease in Human Cerebrospinal Fluid.

Publikováno v: PLoS ONE, Vol 10, Iss 8, p e0135365 (2015)

Disease modifying treatments for Alzheimer's disease (AD) constitute a major goal in medicine. Current trends suggest that biomarkers reflective of AD neuropathology and modifiable by treatment would provide supportive evidence for disease modificati

Externí odkaz: https://doaj.org/article/9acb46913f794a2a8b1b2a7a679cc6a4

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Selection of an Optimal In Vitro Model to Assess P-gp Inhibition: Comparison of Vesicular and Bidirectional Transcellular Transport Inhibition Assays

Autor: Jocelyn, Yabut, Robert, Houle, Shubing, Wang, Andy, Liaw, Ravi, Katwaru, Hannah, Collier, Lucinda, Hittle, Xiaoyan, Chu

Publikováno v: Drug Metabolism and Disposition. 50:909-922

The multidrug resistance protein 1 (MDR1) P-glycoprotein (P-gp) is a clinically important transporter. In vitro P-gp inhibition assays have been routinely conducted to predict the potential for clinical drug-drug interactions (DDIs) mediated by P-gp.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86cdd86bf76c6e11bda2332bd055c3be
https://doi.org/10.1124/dmd.121.000807

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Convolutional Neural Networks Enable Highly Accurate and Automated Subvisible Particulate Classification of Biopharmaceuticals

Autor: Shubing Wang, Andy Liaw, Yue-Ming Chen, Yongchao Su, Daniel Skomski

Publikováno v: Pharmaceutical research.

Quantification of subvisible particles, which are generally defined as those ranging in size from 2 to 100 µm, is important as critical characteristics for biopharmaceutical formulation development. Micro Flow Imaging (MFI) provides quantifiable mor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa19713c5ac45dffa610044e7d21927
https://pubmed.ncbi.nlm.nih.gov/36471026

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Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure–Activity Relationship Models?

Autor: Elizabeth Joshi, Andy Liaw, Prabha Karnachi, Meir Glick, Yuting Xu, Matthew Tudor, Robert P. Sheridan, Falgun Shah, Juan C. Alvarez, Alan C. Cheng

Publikováno v: Journal of Chemical Information and Modeling. 60:1969-1982

Given a particular descriptor/method combination, some quantitative structure-activity relationship (QSAR) datasets are very predictive by random-split cross-validation while others are not. Recent literature in modelability suggests that the limitin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62fa5563d4937fc0756adda0e983dd47
https://doi.org/10.1021/acs.jcim.9b01067

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Can Galactose Be Converted to Glucose in HepG2 Cells? Improving the in Vitro Mitochondrial Toxicity Assay for the Assessment of Drug Induced Liver Injury

Autor: Allen Kaczor, Qiuwei Xu, José A. Lebrón, Amy G Aslamkhan, John Imredy, Yan Yu, Christina Wei, Matthew Kuhls, Kaushik Mitra, Michael P. Ruth, Kara Pearson, Andy Liaw, Liping Liu, Heather Vu, Frank D. Sistare, Raymond J. Gonzalez

Publikováno v: Chemical Research in Toxicology. 32:1528-1544

Human hepatocellular carcinoma cells, HepG2, are often used for drug mediated mitochondrial toxicity assessments. Glucose in HepG2 culture media is replaced by galactose to reveal drug-induced mitochondrial toxicity as a marked shift of drug IC50 val

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17919a6e2badadf5dc61110f063a9a8b
https://doi.org/10.1021/acs.chemrestox.9b00033

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