AIMC Topic: Indoles

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MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction.

Methods (San Diego, Calif.) Jan 31, 2022
Elucidating the mechanisms of Compound-Protein Interactions (CPIs) plays an essential role in drug discovery and development. Many computational efforts have been done to accelerate the development of this field. However, the current predictive perfo...
Deep Learning Cyclopropanes Proteins Indoles Neural Networks, Computer Software
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Polydopamine and silica nanoparticles magnetic solid phase extraction coupled with liquid chromatography-tandem mass spectrometry to determine phenolic acids and flavonoids in fruit wine.

Journal of food and drug analysis Sep 15, 2021
Magnetic solid phase extraction (MSPE) have been widely applied in a variety of sample preparation techniques. Herein, FeO@pDA as the sorbents for MSPE, were developed for the determination of phenolic acids and flavonoids in fruit wine samples in co...
Wine Magnetic Phenomena Flavonoids Nanoparticles Spectroscopy, Fourier Transform Infrared Indoles Silicon Dioxide Tandem Mass Spectrometry Fruit Chromatography, Liquid Polymers Solid Phase Extraction
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Exposure to polydopamine nanoparticles induces neurotoxicity in the developing zebrafish.

NanoImpact Aug 30, 2021
Currently, the potential applications of polydopamine (PDA) nanoparticles in the biomedical field are being extensively studied, such as cell internalization, biocompatible surface modification, biological imaging, nano-drug delivery, cancer diagnosi...
Zebrafish Indoles Larva Nanoparticles Polymers Animals
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Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.

Circulation research Jun 3, 2020
Myocytes, Cardiac Cell Nucleus Immunohistochemistry Mice, Transgenic Integrases Indoles Microscopy Reproducibility of Results Animals Biomarkers Myosin Heavy Chains Deep Learning Fluorescent Dyes Image Processing, Computer-Assisted Troponin T Mice
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Synthesis and in vitro activity of asymmetric indole-based bisamidine compounds against Gram-positive and Gram-negative pathogens.

Bioorganic & medicinal chemistry letters Dec 13, 2019
A series of new asymmetric bisamidine was designed, synthesized, and tested for their in-vitro antibacterial activity using a range of Gram-positive and Gram-negative pathogens. Most compounds demonstrated powerful antibacterial activity, and interes...
Klebsiella Indoles Citrobacter freundii Furans Structure-Activity Relationship Molecular Structure Anti-Bacterial Agents Pseudomonas aeruginosa Escherichia coli Microbial Sensitivity Tests Dose-Response Relationship, Drug
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Polydopamine Nanoparticles for Deep Brain Ablation via Near-Infrared Irradiation.

ACS biomaterials science & engineering Dec 13, 2019
Local resection or ablation remains an important approach to treat drug-resistant central neurological disease. Conventional surgical approaches are designed to resect the diseased tissues. The emergence of photothermal therapy (PTT) offers a minimal...
Brain Nanoparticles Polymers Indoles Phototherapy
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Magnetic γ-cyclodextrin polymer with compatible cavity promote the magnetic solid-phase extraction of microcystins in water samples.

Analytica chimica acta Dec 21, 2018
Microcystins (MCs), which are produced by eruptive cyanobacteria, seriously threaten the health of humans for their poisonousness. Herein, a facile strategy was introduced to synthesize the magnetic γ-cyclodextrin polymer (FeO@PDA@γ-CDP) composite an...
Lakes Water Adsorption Polymers Time Factors Seawater Cellulose Ferrosoferric Oxide Magnets Tandem Mass Spectrometry Microspheres Hydrogen-Ion Concentration Indoles Solid Phase Extraction Microcystins Cyclodextrins Chromatography, High Pressure Liquid
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Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

PLoS computational biology Nov 30, 2018
Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction...
Neural Networks, Computer Algorithms Deep Learning Fluorescent Dyes Automation Drug-Related Side Effects and Adverse Reactions Cell Nucleus Indoles Image Interpretation, Computer-Assisted
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Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging.

Nature communications Apr 27, 2018
Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism of cell protrusion has been understood based on the ensemble average of actin regulator dynamics. Here, we establish a computational framework called ...
Vasodilator-Stimulated Phosphoprotein Microfilament Proteins Potoroidae Pseudopodia Phosphoproteins Indoles Actins Intravital Microscopy Actin-Related Protein 2-3 Complex Cell Adhesion Molecules Actin Cytoskeleton Cluster Analysis Cell Line Models, Biological Animals Cell Line, Tumor Cell Movement Machine Learning Software Humans
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MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae.

Metabolic engineering Apr 5, 2018
Facing boosting ability to construct combinatorial metabolic pathways, how to search the metabolic sweet spot has become the rate-limiting step. We here reported an efficient Machine-learning workflow in conjunction with YeastFab Assembly strategy (M...
Neural Networks, Computer Machine Learning Models, Biological Indoles Saccharomyces cerevisiae Metabolic Engineering
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