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Escherichia coli

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Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

Briefings in bioinformatics
Promoters are short consensus sequences of DNA, which are responsible for transcription activation or the repression of all genes. There are many types of promoters in bacteria with important roles in initiating gene transcription. Therefore, solving...

The Gene Ontology resource: enriching a GOld mine.

Nucleic acids research
The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The n...

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.

Nucleic acids research
Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for obtaining co-regulated, independently-modulated gene sets (iModulons), inferring their activities across a range of conditions, and enabling their ass...

A novel approach for remote detection of bacteria using simple charge-coupled device cameras and telescope.

The Review of scientific instruments
We have designed, constructed, and utilized a charge-coupled device system, integrated with a small Newtonian telescope, capable of long distance recording of bacterial fluorescence and synchronous spectra for the detection of bacteria, their compone...

Enzyme-powered Janus platelet cell robots for active and targeted drug delivery.

Science robotics
Transforming natural cells into functional biocompatible robots capable of active movement is expected to enhance the functions of the cells and revolutionize the development of synthetic micromotors. However, present cell-based micromotor systems co...

FRENCH MARIGOLD (TAGETES PATULA L.) FLOWER EXTRACT PROTECTS KIDNEY CELLS FROM INFLAMMATION IN VITRO.

Georgian medical news
The aim of our study is to evaluate the mechanisms of anti-inflammatory property of Tagetes patula L. (French Marigold) flower extracts and its protective effect on renal epithelium against uropathogenic E. coli infection. Thus, in this study, a numb...

A Cell Segmentation/Tracking Tool Based on Machine Learning.

Methods in molecular biology (Clifton, N.J.)
The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify (se...

Enhancing fluorescent protein photostability through robot-assisted photobleaching.

Integrative biology : quantitative biosciences from nano to macro
Improving fluorescent proteins through the use of directed evolution requires robust techniques for screening large libraries of genetic variants. Here we describe an effective and relatively low-cost system for screening libraries of fluorescent pro...

ComplexContact: a web server for inter-protein contact prediction using deep learning.

Nucleic acids research
ComplexContact (http://raptorx2.uchicago.edu/ComplexContact/) is a web server for sequence-based interfacial residue-residue contact prediction of a putative protein complex. Interfacial residue-residue contacts are critical for understanding how pro...

Applying machine learning to the flagellar motor for biosensing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Escherichia coli detects and follows chemical gradients in its environment in a process known as chemotaxis. The performance of chemotaxis approaches fundamental biosensor speed and sensitivity limits, but there have been relatively few attempts to i...