AIMC Topic: Angiotensin-Converting Enzyme Inhibitors

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Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.

Scientific reports Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Adult Male Middle Aged Drug Repositioning Retrospective Studies Electronic Health Records Female Aged Angiotensin-Converting Enzyme Inhibitors Cardiotonic Agents Cardiotoxicity Anthracyclines Adrenergic beta-Antagonists Natural Language Processing Calcium Channel Blockers Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors Angiotensin Receptor Antagonists
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Machine learning discovery of novel antihypertensive peptides from highland barley protein inhibiting angiotensin I-converting enzyme (ACE).

Food research international (Ottawa, Ont.) Jan 6, 2025
Hypertension is a major global health concern, and there is a need for new antihypertensive agents derived from natural sources. This study aims to identify novel angiotensin I-converting enzyme (ACE) inhibitors from bioactive peptides derived from f...
Molecular Docking Simulation Antihypertensive Agents Molecular Dynamics Simulation Plant Proteins Angiotensin-Converting Enzyme Inhibitors Hordeum Peptidyl-Dipeptidase A Humans Machine Learning Peptides
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Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides.

Methods (San Diego, Calif.) Dec 19, 2024
Identifying angiotensin-I-converting enzyme (ACE) inhibitory peptides accurately is crucial for understanding the primary factor that regulates the renin-angiotensin system and for providing guidance in developing new potential drugs. Given the inher...
Humans Neural Networks, Computer Peptides Ensemble Learning Drug Discovery Deep Learning Angiotensin-Converting Enzyme Inhibitors Peptidyl-Dipeptidase A
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DeepBP: Ensemble deep learning strategy for bioactive peptide prediction.

BMC bioinformatics Nov 11, 2024
BACKGROUND: Bioactive peptides are important bioactive molecules composed of short-chain amino acids that play various crucial roles in the body, such as regulating physiological processes and promoting immune responses and antibacterial effects. Due...
Neural Networks, Computer Databases, Protein Angiotensin-Converting Enzyme Inhibitors Peptides Antineoplastic Agents Deep Learning Computational Biology
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A retrospective prognostic evaluation using unsupervised learning in the treatment of COVID-19 patients with hypertension treated with ACEI/ARB drugs.

PeerJ May 13, 2024
INTRODUCTION: This study aimed to evaluate the prognosis of patients with COVID-19 and hypertension who were treated with angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor B (ARB) drugs and to identify key features affecting patient...
COVID-19 Drug Treatment Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Middle Aged Hypertension Cluster Analysis Unsupervised Machine Learning COVID-19 Algorithms Prognosis Retrospective Studies Female SARS-CoV-2 Aged Male Humans
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Deep learning drives efficient discovery of novel antihypertensive peptides from soybean protein isolate.

Food chemistry Oct 20, 2022
As a potential and effective substitute for the drugs of antihypertension, the food-derived antihypertensive peptides have arisen great interest in scholars recently. However, the traditional screening methods for antihypertensive peptides are at con...
Antihypertensive Agents Soybean Proteins Angiotensin-Converting Enzyme Inhibitors Peptides Molecular Docking Simulation Deep Learning
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Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches.

Journal of agricultural and food chemistry Oct 1, 2020
Food-derived angiotensin I-converting enzyme (ACE) inhibitory peptides could potentially be used as safe supportive therapeutic products for high blood pressure. Theoretical approaches are promising methods with the advantage through exploring the re...
Peptidyl-Dipeptidase A Machine Learning Models, Molecular Angiotensin-Converting Enzyme Inhibitors Hydrogen Bonding Peptides Molecular Docking Simulation
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The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease.

The Canadian journal of cardiology Dec 26, 2018
BACKGROUND: Growth differentiation factor-15 (GDF-15) is a stress-inducible cytokine and member of the transforming growth factor-β cytokine superfamily that refines prognostic assessment in subgroups of patients with heart failure (HF). We evaluated...
Systole Blood Pressure Middle Aged Cholesterol Growth Differentiation Factor 15 Humans Renal Insufficiency, Chronic Sodium Heart-Assist Devices Heart Failure, Systolic Glomerular Filtration Rate Sex Factors Natriuretic Peptide, Brain Biomarkers Heart Transplantation Follow-Up Studies Angiotensin Receptor Antagonists Female Proportional Hazards Models Angiotensin-Converting Enzyme Inhibitors Male
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Journal of the American Heart Association Apr 12, 2018
BACKGROUND: Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying ...
Retrospective Studies Female Reproducibility of Results Sweden Aged Aged, 80 and over Survival Rate Male Machine Learning Algorithms Phenotype Prognosis Humans Angiotensin-Converting Enzyme Inhibitors Cardiovascular Agents Adrenergic beta-Antagonists Registries Ventricular Function, Left Heart Failure Stroke Volume Diuretics Middle Aged Angiotensin Receptor Antagonists Follow-Up Studies
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The addition of inulin and Lactobacillus casei 01 in sheep milk ice cream.

Food chemistry Dec 5, 2017
The effect of the Lactobacillus casei 01 and inulin addition on sheep milk ice cream during storage (-18 °C, 150 days) was investigated. Control, probiotic and synbiotic ice cream (10% w/w sheep milk cream; 10% w/w sheep milk cream, L. casei 01, 6 lo...
Humans Ice Cream Animals Inulin Antioxidants Volatile Organic Compounds Lacticaseibacillus casei Gastrointestinal Tract Angiotensin-Converting Enzyme Inhibitors Cell Adhesion Food, Fortified Probiotics Caco-2 Cells Sheep Milk
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