AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Gram-Negative Bacteria

Showing 11 to 20 of 35 articles

Clear Filters

In vitro colonic fermentation of Mexican "taco" from corn-tortilla and black beans in a Simulator of Human Microbial Ecosystem (SHIME®) system.

Food research international (Ottawa, Ont.) 30898356
A Mexican staple food prepared with corn "tortilla" (Zea mays L.) and common beans (Phaseolus vulgaris L.) is named as "taco". It was fermented in an in vitro colonic Simulator of Human Microbial Ecosystem (SHIME®) to evaluate the effect in short cha...
Acetates Ammonia Bifidobacterium Bread Butyrates Clostridium Colon Ecosystem Fabaceae Fatty Acids, Volatile Fermentation Gastrointestinal Microbiome Gram-Negative Bacteria Humans Lactobacillus Propionates Zea mays
View on PubMed DOI

Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases 31128285
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding...
Adolescent Adult Aged Anti-Bacterial Agents beta-Lactamases Drug Therapy, Combination Female Gram-Negative Bacteria Gram-Negative Bacterial Infections Hospitalization Humans Incidence Italy Machine Learning Male Middle Aged Prospective Studies Risk Factors Romania Serbia Young Adult
View on PubMed DOI

DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequence.

Bioinformatics (Oxford, England) 30407530
MOTIVATION: Various bacterial pathogens can deliver their secreted substrates also called effectors through Type III secretion systems (T3SSs) into host cells and cause diseases. Since T3SS secreted effectors (T3SEs) play important roles in pathogen-...
Algorithms Bacterial Proteins Genome, Bacterial Gram-Negative Bacteria Neural Networks, Computer Software
View on PubMed DOI

Bastion3: a two-layer ensemble predictor of type III secreted effectors.

Bioinformatics (Oxford, England) 30388198
MOTIVATION: Type III secreted effectors (T3SEs) can be injected into host cell cytoplasm via type III secretion systems (T3SSs) to modulate interactions between Gram-negative bacterial pathogens and their hosts. Due to their relevance in pathogen-hos...
Algorithms Amino Acid Sequence Bacterial Proteins Computational Biology Gram-Negative Bacteria Machine Learning Software
View on PubMed DOI

ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors.

Computational and mathematical methods in medicine 32328150
The type III secretion system (T3SS) is a special protein delivery system in Gram-negative bacteria which delivers T3SS-secreted effectors (T3SEs) to host cells causing pathological changes. Numerous experiments have verified that T3SEs play importan...
Amino Acid Sequence Bacterial Proteins Computational Biology Databases, Protein Deep Learning Gram-Negative Bacteria Host Microbial Interactions Neural Networks, Computer Type III Secretion Systems
View on PubMed DOI

Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning Methods.

Analytical chemistry 32330016
In diagnostics of infectious diseases, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) can be applied for the identification of pathogenic microorganisms. However, to achieve a trustworthy identification fr...
Aerosols Deep Learning Gram-Negative Bacteria Gram-Positive Bacteria Single-Cell Analysis Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
View on PubMed DOI

Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.

Journal of integrative bioinformatics 32598314
To date, many proteins generated by large-scale genome sequencing projects are still uncharacterized and subject to intensive investigations by both experimental and computational means. Knowledge of protein subcellular localization (SCL) is of key i...
Bacterial Proteins Computational Biology Databases, Protein Gene Expression Profiling Gene Ontology Gram-Negative Bacteria Gram-Positive Bacteria Machine Learning Molecular Sequence Annotation Sequence Alignment Sequence Analysis, Protein Subcellular Fractions
View on PubMed DOI

DeeplyEssential: a deep neural network for predicting essential genes in microbes.

BMC bioinformatics 32998698
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.
Area Under Curve Bacteria Cluster Analysis Codon Genes, Essential Gram-Negative Bacteria Gram-Positive Bacteria Neural Networks, Computer ROC Curve
View on PubMed DOI

Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec.

Briefings in bioinformatics 33784381
The overuse of antibiotics has led to emergence of antimicrobial resistance, and as a result, antibacterial peptides (ABPs) are receiving significant attention as an alternative. Identification of effective ABPs in lab from natural sources is a cost-...
Amino Acid Sequence Anti-Bacterial Agents Computational Biology Deep Learning Drug Resistance, Bacterial Gram-Negative Bacteria Gram-Positive Bacteria Peptides Streptococcus Phages Viral Tail Proteins
View on PubMed DOI

Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier.

Briefings in bioinformatics 33537726
Multi-label proteins can participate in carrier transportation, enzyme catalysis, hormone regulation and other life activities. Meanwhile, they play a key role in the fields of biopharmaceuticals, gene and cell therapy. This article proposes a predic...
Amino Acid Sequence Amino Acids Computational Biology Data Accuracy Databases, Protein Discriminant Analysis Gene Ontology Gram-Negative Bacteria Intracellular Space Plants Position-Specific Scoring Matrices Proteins Support Vector Machine Viruses
View on PubMed DOI
Popular Topics
Recent Journals