AIMC Topic: Glycine

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Microglial pruning of glycinergic synapses disinhibits spinal PKCγ interneurons to drive pain hypersensitivity in mice.

Science translational medicine Jun 18, 2025
Microglial activation is linked to neuroinflammation in neuropathic pain. Recently, microglia-mediated synaptic pruning has received mounting attention. However, the exact role of spinal microglia in modulating neuropathic pain-associated neural circ...
Microglia Glycine Synapses Male Mice Mice, Inbred C57BL Protein Kinase C Apolipoproteins E Interneurons Complement C1q Spinal Cord Neuralgia Hyperalgesia Animals
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Machine Learning Prediction of Leuconostoc spp. Growth Inducing Spoilage in Cooked Deli Foods Considering the Effect of Glycine and Sodium Acetate.

Journal of food protection Oct 16, 2024
To control spoilage by lactic acid bacteria (Leuconostoc spp.) in cooked deli food, various combinations of environmental and/or intrinsic factors have been employed based on hurdle technology. Since many factors and their combinations greatly influe...
Food Microbiology Hydrogen-Ion Concentration Colony Count, Microbial Leuconostoc Humans Glycine Machine Learning Sodium Acetate
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Precise prediction of phase-separation key residues by machine learning.

Nature communications Mar 26, 2024
Understanding intracellular phase separation is crucial for deciphering transcriptional control, cell fate transitions, and disease mechanisms. However, the key residues, which impact phase separation the most for protein phase separation function ha...
Glycine Machine Learning Proteins
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Lactoferrin: A Promising New Player in Treatment of Iron Deficiency Anemia in Patients on Regular Hemodialysis: A Randomized Controlled Trial.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 17, 2024
Hepcidin is secreted in inflammatory states as in patients on regular hemodialysis (HD). Therefore, novel agents modulating hepcidin secretion may have the potential to effectively reverse anemia in HD patients. Bovine milk derivative lactoferrin (BL...
Ferrous Compounds Hemoglobins Anemia, Iron-Deficiency Humans Sulfates Hepcidins Renal Dialysis Glycine Lactoferrin Iron
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Uncertainty-driven dynamics for active learning of interatomic potentials.

Nature computational science Mar 6, 2023
Machine learning (ML) models, if trained to data sets of high-fidelity quantum simulations, produce accurate and efficient interatomic potentials. Active learning (AL) is a powerful tool to iteratively generate diverse data sets. In this approach, th...
Machine Learning Molecular Dynamics Simulation Glycine Uncertainty
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Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation.

Journal of computational chemistry Sep 27, 2022
Machine learning is becoming increasingly more important in the field of force field development. Never has it been more vital to have chemically accurate machine learning potentials because force fields become more sophisticated and their applicatio...
Glycine Machine Learning Computer Simulation Peptides
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Genetic dissection of complex traits using hierarchical biological knowledge.

PLoS computational biology Sep 17, 2021
Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical bio...
Multifactorial Inheritance Benomyl Nucleotidyltransferases Gene Ontology Hydroxyurea Chromosome Mapping Neural Networks, Computer Machine Learning Metabolic Networks and Pathways Copper Mutation Computational Biology Knowledge Bases Systems Biology Saccharomyces cerevisiae Models, Genetic Glucose Phenotype Glycine Genome-Wide Association Study Polymorphism, Single Nucleotide
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An artificial neural network and Random Forest identify glyphosate-impacted brackish communities based on 16S rRNA amplicon MiSeq read counts.

Marine pollution bulletin Aug 24, 2019
Machine learning algorithms can be trained on complex data sets to detect, predict, or model specific aspects. Aim of this study was to train an artificial neural network in comparison to a Random Forest model to detect induced changes in microbial c...
Neural Networks, Computer Glycine High-Throughput Nucleotide Sequencing Random Allocation RNA, Ribosomal, 16S Glyphosate Machine Learning Water Pollutants, Chemical Water Microbiology Algorithms Microbiota Environmental Monitoring
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Recognition of early and late stages of bladder cancer using metabolites and machine learning.

Metabolomics : Official journal of the Metabolomic Society Jun 20, 2019
INTRODUCTION: Bladder cancer (BCa) is one of the most common and aggressive cancers. It is the sixth most frequently occurring cancer in men and its rate of occurrence increases with age. The current method of BCa diagnosis includes a cystoscopy and ...
Neoplasm Staging Amino Acids Proto-Oncogene Proteins c-akt ErbB Receptors Glycine Humans Galactose Machine Learning Urinary Bladder Neoplasms Software Metabolic Networks and Pathways Area Under Curve Biomarkers, Tumor Insulin ROC Curve
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Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

The Science of the total environment Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Dogs Female Glyphosate Herbicides Glycine Animals New York Male Sex Factors Cats Age Factors Environmental Pollutants
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