AIMC Topic: Chloroquine

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Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy.

eLife Dec 8, 2022
Mice are the most commonly used model animals for itch research and for development of anti-itch drugs. Most laboratories manually quantify mouse scratching behavior to assess itch intensity. This process is labor-intensive and limits large-scale gen...
Deep Learning Mice Animals Chloroquine Injections Disease Models, Animal Behavior, Animal Pruritus
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Toward a Coronavirus Knowledge Graph.

Genes Jun 29, 2021
This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is CORD-19, a col...
Hydroxychloroquine Receptors, Interleukin-6 Hemorrhagic Fever, Ebola Chloroquine STAT1 Transcription Factor Knowledge Bases Pattern Recognition, Automated Peptidyl-Dipeptidase A Computer Graphics SARS-CoV-2 PubMed COVID-19 Databases, Factual Humans
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Prediction of the inhibitory concentrations of chloroquine derivatives using deep neural networks models.

Journal of biomolecular structure & dynamics Jan 25, 2020
In recent years, deep neural networks have begun to receive much attention, which has obvious advantages in feature extraction and modeling. However, in the using of deep neural networks for the QSAR modeling process, the selection of various paramet...
Chloroquine Neural Networks, Computer
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Discovery of potential 1,3,5-Triazine compounds against strains of Plasmodium falciparum using supervised machine learning models.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Dec 25, 2019
The Malaria burden was an escalating global encumbrance and need to be addressed with critical care. Anti-malarial drug discovery was integrated with supervised machine learning (ML) models to identify potent thiazolyl-traizine derivatives. This assi...
Malaria Machine Learning Chloroquine Antimalarials Plasmodium falciparum Triazines Parasitemia
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Spatiotemporal calcium signaling patterns underlying opposing effects of histamine and TAS2R agonists in airway smooth muscle.

American journal of physiology. Lung cellular and molecular physiology Jul 1, 2025
Intracellular calcium (Ca) release via phospholipase C (PLC) following G-protein-coupled receptor (GPCR) activation is typically linked to membrane depolarization and airway smooth muscle (ASM) contraction. However, recent findings show that bitter t...
Respiratory System Calcium Signaling Taste Receptors, Type 2 Calcium Humans Muscle, Smooth Histamine Myocytes, Smooth Muscle Animals Chloroquine Flufenamic Acid Receptors, G-Protein-Coupled
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Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences Nov 1, 2020
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...
Drug Repositioning Chloroquine Vitamins Artificial Intelligence Drug Combinations Ascorbic Acid Hydroxychloroquine Machine Learning Immunosuppressive Agents Drug Development Adenosine Monophosphate Ritonavir Humans Alanine Antibodies, Monoclonal, Humanized Antiviral Agents COVID-19 Drug Treatment Lopinavir COVID-19 COVID-19 Vaccines Ribavirin Deep Learning
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