AIMC Topic: Animals

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Altered Expression Patterns of the Sumoylation Enzymes E1, E2 and E3 Are Associated with Glucose Oxidase- and UVA-Induced Cataractogenesis.

Current molecular medicine Jan 1, 2018
PURPOSE: Protein sumoylation is a well established regulatory mechanism that regulates chromatin structure and dynamics, cell proliferation and differentiation, stress response and cell apoptosis. In the vertebrate eye, we and others have shown that ...
Glucose Oxidase Cataract Animals Gene Expression Regulation, Enzymologic Lens, Crystalline Sumoylation Mice RNA, Messenger Ubiquitin-Activating Enzymes Ultraviolet Rays
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Origins of Robotic Surgery: From Skepticism to Standard of Care.

JSLS : Journal of the Society of Laparoendoscopic Surgeons Jan 1, 2018
BACKGROUND AND OBJECTIVES: The uses of robotics in surgery were hypothesized as far back as 1967, but it took nearly 30 years and the nation's largest agency, the Department of Defense, in conjunction with innovative startups and established research...
Humans Animals Virtual Reality Telemedicine History, 21st Century History, 20th Century Standard of Care Robotics Minimally Invasive Surgical Procedures Robotic Surgical Procedures
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A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction.

Indian journal of pharmacology Jan 1, 2018
CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details c...
Machine Learning Animals Drug Discovery Receptors, Androgen Data Mining Endocrine Disruptors Humans Inhibitory Concentration 50 Receptors, Estrogen Neural Networks, Computer Big Data Models, Theoretical
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Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

Critical reviews in biomedical engineering Jan 1, 2018
A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation of the Q-T wave (QT) interval on a surface electrocardiogram. Such a delay can lead to potentially life-threatening cardiac arrhythmia (torsades de p...
Clinical Trials as Topic False Positive Reactions Torsades de Pointes Animals Male Arrhythmias, Cardiac Drug Design Electrocardiography MAP Kinase Signaling System Humans Female Gene Expression Profiling Support Vector Machine Gene Expression Regulation Heart Machine Learning Reproducibility of Results Cluster Analysis Mice Sensitivity and Specificity Drug Evaluation, Preclinical Signal Processing, Computer-Assisted Rats Heart Ventricles
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Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology.

Current topics in medicinal chemistry Jan 1, 2018
Machine Learning (ML) models are very useful to predict physicochemical properties of small organic molecules, proteins, proteomes, and complex systems. These methods may be useful to reduce the cost of research in terms of materials resources, time,...
Computer Simulation Animals Humans Machine Learning Chemistry Techniques, Synthetic Proteins Models, Chemical Chemistry, Pharmaceutical
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Applications of Machine Learning Methods in Drug Toxicity Prediction.

Current topics in medicinal chemistry Jan 1, 2018
Toxicity evaluation is an important part of the preclinical safety assessment of new drugs, which is directly related to human health and the fate of drugs. It is of importance to study how to evaluate drug toxicity accurately and economically. The t...
Animals Drug-Related Side Effects and Adverse Reactions Humans Machine Learning
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Numerical Models and In Vitro Assays to Study Odorant Receptors.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Unraveling the sense of smell relies on understanding how odorant receptors recognize odorant molecules. Given the vastness of the odorant chemical space and the complexity of the odorant receptor space, computational methods are in line to propose r...
Mutation Receptors, Odorant Humans Animals Molecular Docking Simulation Machine Learning Computer Simulation
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Editorial: Breaking the Discovery Impasse (Part 2): Deep Learning New Tricks from Old Data.

Combinatorial chemistry & high throughput screening Jan 1, 2018
Databases as Topic Data Analysis Animals Deep Learning Humans
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SPRENO: a BioC module for identifying organism terms in figure captions.

Database : the journal of biological databases and curation Jan 1, 2018
Recent advances in biological research reveal that the majority of the experiments strive for comprehensive exploration of the biological system rather than targeting specific biological entities. The qualitative and quantitative findings of the inve...
Sindbis Virus Drosophila melanogaster Genes, Insect Genes, Viral Neural Networks, Computer Databases, Factual Animals Data Mining Classification
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[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce...
Humans Machine Learning Mice Seizures Drug Evaluation, Preclinical Drug-Related Side Effects and Adverse Reactions Forecasting Animals Drug Discovery Strychnine Diphenhydramine Theophylline Enoxacin
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