AIMC Topic: Bacteria

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C-Norm: a neural approach to few-shot entity normalization.

BMC bioinformatics Dec 29, 2020
BACKGROUND: Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains. In these domains, and more generally in all specialized domai...
Databases as Topic Knowledge Neural Networks, Computer Machine Learning Algorithms Bacteria Confidence Intervals Phenotype Ecosystem Humans
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Bacterial endosymbiont inhabiting leaves and their antioxidant and antidiabetic potential.

Journal of complementary & integrative medicine Dec 22, 2020
OBJECTIVES: Research on endosymbionts is emerging globally and is considered as a potential source of bioactive phytochemicals. The present study examines the antioxidant and antidiabetic of the endophytic crude extract isolated from leaves.
Animals Hypoglycemic Agents Bacteria Antioxidants RNA, Ribosomal, 16S Plant Extracts Rats Plant Leaves Diabetes Mellitus, Experimental
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Phytochemical, antibacterial, antioxidant and cytoxicity investigation of .

Zeitschrift fur Naturforschung. C, Journal of biosciences Dec 17, 2020
The phytochemical investigation of led to the isolation of 18 known compounds of which were four flavones, three anthraquinones, one phenyl propanoic derivative, five triterpenoids, four steroids and a mixture of glucose. Luteolin () and soranjidiol...
Plant Stems Mass Spectrometry Rubiaceae Cell Survival Plant Leaves Biphenyl Compounds Cell Line, Tumor Oxidation-Reduction Humans Chromatography Bacteria Phytochemicals Molecular Structure Anti-Bacterial Agents Picrates Antioxidants Plant Bark Microbial Sensitivity Tests
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Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

Nature communications Dec 1, 2020
Understanding the genetic regulatory code governing gene expression is an important challenge in molecular biology. However, how individual coding and non-coding regions of the gene regulatory structure interact and contribute to mRNA expression leve...
Animals Deep Learning Mice Bacteria Humans Base Sequence Saccharomyces cerevisiae Drosophila melanogaster Regulatory Sequences, Nucleic Acid RNA, Messenger Evolution, Molecular Gene Expression Regulation
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Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions.

Cell host & microbe Oct 28, 2020
Glycans, the most diverse biopolymer, are shaped by evolutionary pressures stemming from host-microbe interactions. Here, we present machine learning and bioinformatics methods to leverage the evolutionary information present in glycans to gain insig...
Polysaccharides, Bacterial Bacterial Physiological Phenomena Symbiosis Bacterial Capsules Host Microbial Interactions Immune Evasion Natural Language Processing Polysaccharides Virulence Deep Learning Humans Bacteria Animals Computational Biology
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Predicting antimicrobial resistance using conserved genes.

PLoS computational biology Oct 19, 2020
A growing number of studies are using machine learning models to accurately predict antimicrobial resistance (AMR) phenotypes from bacterial sequence data. Although these studies are showing promise, the models are typically trained using features de...
Phenotype Genomics Bacteria Genome, Bacterial Algorithms Anti-Bacterial Agents Drug Resistance, Bacterial Conserved Sequence Machine Learning
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Gut microbiome-mediated epigenetic regulation of brain disorder and application of machine learning for multi-omics data analysis.

Genome Oct 8, 2020
The gut-brain axis (GBA) is a biochemical link that connects the central nervous system (CNS) and enteric nervous system (ENS). Clinical and experimental evidence suggests gut microbiota as a key regulator of the GBA. Microbes living in the gut not o...
Machine Learning Data Analysis Brain Animals Humans Artificial Intelligence Dysbiosis Fatty Acids, Volatile Brain Diseases Bacteria Epigenesis, Genetic Gastrointestinal Microbiome
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DeeplyEssential: a deep neural network for predicting essential genes in microbes.

BMC bioinformatics Sep 30, 2020
BACKGROUND: Essential genes are those genes that are critical for the survival of an organism. The prediction of essential genes in bacteria can provide targets for the design of novel antibiotic compounds or antimicrobial strategies.
Gram-Positive Bacteria Codon Cluster Analysis Genes, Essential Area Under Curve Gram-Negative Bacteria Neural Networks, Computer ROC Curve Bacteria
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Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning.

Biomolecules Sep 28, 2020
Microbial natural products (NPs) are an important source of drugs, however, their structural diversity remains poorly understood. Here we used our recently reported MinHashed Atom Pair fingerprint with diameter of four bonds (MAP4), a fingerprint sui...
Machine Learning Biological Products Area Under Curve ROC Curve Bacteria Fungi Databases, Chemical
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Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.

BMC bioinformatics Sep 21, 2020
BACKGROUND: It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome sequencing projects, such as the exponentially-growing NCBI RefSeq bacterial genome database. When new ref...
Sequence Analysis, DNA Bayes Theorem Metagenomics Machine Learning Genome, Bacterial Bacteria Humans Metagenome Gastrointestinal Microbiome Algorithms
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