AIMC Topic: Enzyme Inhibitors

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Benefits of Allopurinol Treatment on Blood Pressure and Renal Function in Patients with Early Stage of Chronic Kidney Disease.

Journal of the Medical Association of Thailand = Chotmaihet thangphaet Dec 1, 2015
BACKGROUND: Hyperuricemia has been associated with increased risk of endothelial dysfunction, cardiovascular, and renal disease. Allopurinol is a potent xanthine oxidase inhibitor used in hyperuricemic patients. It has been shown to decrease cardiova...
Humans Prospective Studies Female Aged Male Cardiovascular Diseases Middle Aged Renal Insufficiency, Chronic Treatment Outcome Glomerular Filtration Rate Blood Pressure Patient Acuity Allopurinol Hyperuricemia Uric Acid Biological Availability Enzyme Inhibitors
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QSAR Analysis of Some Antagonists for p38 map kinase Using Combination of Principal Component Analysis and Artificial Intelligence.

Combinatorial chemistry & high throughput screening Jan 1, 2015
Quantitative relationships between structures of a set of p38 map kinase inhibitors and their activities were investigated by principal component regression (PCR) and principal componentartificial neural network (PC-ANN). Latent variables (called com...
Artificial Intelligence Principal Component Analysis p38 Mitogen-Activated Protein Kinases Models, Biological Inhibitory Concentration 50 Enzyme Inhibitors Quantitative Structure-Activity Relationship
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On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches.

Current topics in medicinal chemistry Jan 1, 2015
Inhibition of non-structural protein 5B (NS5B) represents an attractive strategy for the therapeutic treatment of hepatitis C virus (HCV). In this study, machine learning classifiers such as artificial neural network (ANN), support vector machine (SV...
Machine Learning Drug Design Structure-Activity Relationship Molecular Structure High-Throughput Screening Assays Enzyme Inhibitors Viral Nonstructural Proteins
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Compressed images for affinity prediction-2 (CIFAP-2): an improved machine learning methodology on protein-ligand interactions based on a study on caspase 3 inhibitors.

Journal of enzyme inhibition and medicinal chemistry Jan 1, 2015
The aim of this study is to propose an improved computational methodology, which is called Compressed Images for Affinity Prediction-2 (CIFAP-2) to predict binding affinities of structurally related protein-ligand complexes. CIFAP-2 method is establi...
Humans Machine Learning Dose-Response Relationship, Drug Caspase 3 Regression Analysis Structure-Activity Relationship Molecular Structure Sulfonamides Ligands Enzyme Inhibitors
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