AIMC Topic: Bacteria

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Comparative efficacy of machine-learning models in prediction of reducing uncertainties in biosurfactant production.

Bioprocess and biosystems engineering Jul 6, 2019
An accurate and reliable forecast of biosurfactant production with minimum error is useful in any bioprocess engineering. Bacterial isolate FKOD36 capable of producing biosurfactant was isolated in this study and pre-inoculums was prepared from the a...
Support Vector Machine Surface-Active Agents Models, Biological Bacteria
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Machine learning to predict microbial community functions: An analysis of dissolved organic carbon from litter decomposition.

PloS one Jul 1, 2019
Microbial communities are ubiquitous and often influence macroscopic properties of the ecosystems they inhabit. However, deciphering the functional relationship between specific microbes and ecosystem properties is an ongoing challenge owing to the c...
Microbiota RNA, Ribosomal, 16S Machine Learning Sequence Analysis, DNA Bacteria Carbon
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Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima.

ACS synthetic biology Jun 7, 2019
Enzymes that catalyze chemical reactions at high temperatures are used for industrial biocatalysis, applications in molecular biology, and as highly evolvable starting points for protein engineering. The optimal growth temperature (OGT) of organisms ...
Bacterial Proteins Models, Biological Machine Learning Enzyme Stability Temperature Bacteria Bacterial Physiological Phenomena Proteome Protein Engineering
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Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach.

Analytical and bioanalytical chemistry Jun 3, 2019
This work reports on further development of an inhibition electrochemical sensor array based on immobilized bacteria for the preliminary detection of a wide range of organic and inorganic pollutants, such as heavy metal salts (HgCl, PbCl, CdCl), pest...
Limit of Detection Bacteria Pesticides Water Pollutants, Chemical Dielectric Spectroscopy Metals, Heavy Neural Networks, Computer Electrochemical Techniques Petroleum Pollution Biosensing Techniques
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Soft-sensing method based on FDLS-SVM in marine alkaline protease fermentation process.

Preparative biochemistry & biotechnology May 27, 2019
To overcome the problem that soft-sensing model cannot be updated with the bioprocess changes, this article proposed a soft-sensing modeling method which combined fuzzy c-means clustering (FCM) algorithm with least squares support vector machine theo...
Bioreactors Bacterial Proteins Equipment Design Models, Biological Aquatic Organisms Endopeptidases Bacteria Support Vector Machine Least-Squares Analysis Algorithms Fermentation
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Learning Single-Cell Distances from Cytometry Data.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 17, 2019
Recent years have seen an increased interest in employing data analysis techniques for the automated identification of cell populations in the field of cytometry. These techniques highly depend on the use of a distance metric, a function that quantif...
Humans Machine Learning Algorithms Flow Cytometry Microbiota Pattern Recognition, Automated Single-Cell Analysis Bacteria Cluster Analysis Blood Cells
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Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process.

Microbiome Apr 17, 2019
BACKGROUND: Ubiquitous in natural and engineered ecosystems, microbial immigration is one of the mechanisms shaping community assemblage. However, quantifying immigration impact remains challenging especially at individual population level. The activ...
Kinetics Sewage Microbial Consortia Machine Learning Wastewater Bacteria RNA, Ribosomal, 16S Bioreactors
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Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs.

Molecules (Basel, Switzerland) Mar 31, 2019
The emergence of microbes resistant to common antibiotics represent a current treat to human health. It has been recently recognized that non-antibiotic labeled drugs may promote antibiotic-resistance mechanisms in the human microbiome by presenting ...
Bacteria Gastrointestinal Microbiome Anti-Infective Agents Humans Drug Discovery Machine Learning Microbial Sensitivity Tests
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Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

Biosensors & bioelectronics Mar 13, 2019
The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hinder chemical detection specificity. This lack of specificity limits applications in which biosensors may be deployed, such as those where an unknown fe...
Genome, Bacterial Acetates Microbiota Carbohydrates Genomics Bacteria Machine Learning Wastewater Algorithms Biosensing Techniques
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Whey Protein Complexes with Green Tea Polyphenols: Antimicrobial, Osteoblast-Stimulatory, and Antioxidant Activities.

Cells, tissues, organs Jan 24, 2019
Polyphenols are known for their antimicrobial activity, whilst both polyphenols and the globular protein β-lactoglobulin (bLG) are suggested to have antioxidant properties and promote cell proliferation. These are potentially useful properties for a ...
Osteogenesis Cells, Cultured Catechin Male Young Adult Whey Proteins Polyphenols Osteoblasts Bacteria Adult Tea Humans Cell Proliferation Antioxidants Cell Differentiation Anti-Bacterial Agents Fibroblasts Cell Line
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