AIMC Topic: Bacteria

Clear Filters Showing 201 to 210 of 469 articles

Machine learning approach identifies prominent codons from different degenerate groups influencing gene expression in bacteria.

Genes to cells : devoted to molecular & cellular mechanisms Aug 22, 2022
Unequal usage of synonymous codons is known as codon usage bias (CUB), which is generally different between the high-expression genes (HEG) and low-expression genes (LEG) in organisms is not yet adequately reported across different bacteria. In this ...
Gene Expression Codon Machine Learning Bacteria
View on PubMed DOI

Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine.

Preparative biochemistry & biotechnology Jul 11, 2022
Photosynthetic bacteria wastewater treatment is an efficient water pollution treatment method, but photosynthetic bacteria fermentation is a multivariable, non-linear, and time-varying process. So it is difficult to establish an accurate model. Aimin...
Algorithms Fermentation Bacteria Gram-Negative Bacteria Support Vector Machine Least-Squares Analysis
View on PubMed DOI

On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification.

Nature communications Jun 30, 2022
On-chip training remains a challenging issue for photonic devices to implement machine learning algorithms. Most demonstrations only implement inference in photonics for offline-trained neural network models. On the other hand, artificial neural netw...
Machine Learning Algorithms Neural Networks, Computer Silicon Bacteria Support Vector Machine
View on PubMed DOI

SeqScreen: accurate and sensitive functional screening of pathogenic sequences via ensemble learning.

Genome biology Jun 20, 2022
The COVID-19 pandemic has emphasized the importance of accurate detection of known and emerging pathogens. However, robust characterization of pathogenic sequences remains an open challenge. To address this need we developed SeqScreen, which accurate...
Humans Bacteria Open Reading Frames COVID-19 Leukocytes, Mononuclear Machine Learning
View on PubMed DOI

Anti-CRISPR prediction using deep learning reveals an inhibitor of Cas13b nucleases.

Molecular cell May 31, 2022
As part of the ongoing bacterial-phage arms race, CRISPR-Cas systems in bacteria clear invading phages whereas anti-CRISPR proteins (Acrs) in phages inhibit CRISPR defenses. Known Acrs have proven extremely diverse, complicating their identification....
Endonucleases Deep Learning CRISPR-Associated Protein 9 CRISPR-Cas Systems Bacteriophages Bacteria
View on PubMed DOI

Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter.

Nature communications May 11, 2022
The majority of microbial genomes have yet to be cultured, and most proteins identified in microbial genomes or environmental sequences cannot be functionally annotated. As a result, current computational approaches to describe microbial systems rely...
Deep Learning Bacteria Genome, Archaeal Genome, Bacterial Proteins Sequence Analysis Archaea
View on PubMed DOI

Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes.

Journal of molecular biology May 6, 2022
Biosynthetic gene clusters (BGCs) in bacterial genomes code for important small molecules and secondary metabolites. Based on the validated BGCs and the corresponding sequences of protein family domains (Pfams), Pfam functions and clan information, w...
Genome, Bacterial Biosynthetic Pathways Deep Learning Bacteria Multigene Family
View on PubMed DOI

Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process.

Applied biochemistry and biotechnology May 4, 2022
Marine alkaline protease (MAP) fermentation is a complex multivariable, multi-coupled, and nonlinear process. Some unmeasured parameters will affect the quality of protease. Aiming at the problem that some parameters are difficult to be detected onli...
Fermentation Algorithms Bacteria Bacterial Proteins Endopeptidases Neural Networks, Computer
View on PubMed DOI

Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Apr 8, 2022
OBJECTIVE: Antibiotic susceptibility testing (AST) is necessary in order to adjust empirical antibiotic treatment, but the interpretation of results requires experience and knowledge. We have developed a machine learning software that is capable of r...
Anti-Bacterial Agents Microbial Sensitivity Tests Software Supervised Machine Learning Bacteria Escherichia coli Humans Artificial Intelligence
View on PubMed DOI

Collaborative Robot Precision Task in Medical Microbiology Laboratory.

Sensors (Basel, Switzerland) Apr 8, 2022
This study focuses on the feasibility of collaborative robot implementation in a medical microbiology laboratory by demonstrating fine tasks using kinesthetic teaching. Fine tasks require sub-millimetre positioning accuracy. Bacterial colony picking ...
Gram-Negative Bacteria Robotics Gram-Positive Bacteria Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Bacteria
View on PubMed DOI
Popular Topics
Recent Journals