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Escherichia coli

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Quantitative determination of AI-2 quorum-sensing signal of bacteria using high performance liquid chromatography-tandem mass spectrometry.

Journal of environmental sciences (China)
Autoinducer 2 (AI-2), an important bioactive by-product of the LuxS-catalyzed S-ribosylhomocysteine cleavage reaction in the activated-methyl-cycle, has been suggested to serve as a universal intra- and inter-species signaling molecule. The developme...

Improving Protein Expression Prediction Using Extra Features and Ensemble Averaging.

PloS one
The article focus is the improvement of machine learning models capable of predicting protein expression levels based on their codon encoding. Support vector regression (SVR) and partial least squares (PLS) were used to create the models. SVR yields ...

Heat shock protein A12B protects against sepsis-induced impairment in vascular endothelial permeability.

The Journal of surgical research
BACKGROUND: As a common and life-threatening infectious syndrome, sepsis contributes significantly to morbidity and mortality in clinical settings. Vascular endothelial injury and hyperpermeability play an important role in the development of sepsis-...

Formulation of Granules for Site-Specific Delivery of an Antimicrobial Essential Oil to the Animal Intestinal Tract.

Journal of pharmaceutical sciences
Owing to proliferation of antibiotic-resistant bacteria, the use of antibiotics for livestock growth promotion is banned in many countries and alternatives to in-feed antibiotics are needed. Cinnamon essential oil exhibits strong in vitro antibacteri...

Establishing the validity of different susceptibility testing methods to evaluate the in vitro activity of amoxicillin-clavulanate against Escherichia coli.

Diagnostic microbiology and infectious disease
Amoxicillin-clavulanate MICs of 160 Escherichia coli isolates with characterized resistance mechanisms were obtained by 2 MIC gradient strip brands, 3 automated systems, and reference ISO microdilution method using EUCAST (fixed 2μg/mL clavulanate) a...

Semi-Supervised Multi-View Learning for Gene Network Reconstruction.

PloS one
The task of gene regulatory network reconstruction from high-throughput data is receiving increasing attention in recent years. As a consequence, many inference methods for solving this task have been proposed in the literature. It has been recently ...

Prediction of recombinant protein overexpression in Escherichia coli using a machine learning based model (RPOLP).

Computers in biology and medicine
Recombinant protein overexpression, an important biotechnological process, is ruled by complex biological rules which are mostly unknown, is in need of an intelligent algorithm so as to avoid resource-intensive lab-based trial and error experiments i...

The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations.

Biotechnology journal
Product quality assurance strategies in production of biopharmaceuticals currently undergo a transformation from empirical "quality by testing" to rational, knowledge-based "quality by design" approaches. The major challenges in this context are the ...

SPECTRUS: A Dimensionality Reduction Approach for Identifying Dynamical Domains in Protein Complexes from Limited Structural Datasets.

Structure (London, England : 1993)
Identifying dynamical, quasi-rigid domains in proteins provides a powerful means for characterizing functionally oriented structural changes via a parsimonious set of degrees of freedom. In fact, the relative displacements of few dynamical domains us...

All-atom 3D structure prediction of transmembrane β-barrel proteins from sequences.

Proceedings of the National Academy of Sciences of the United States of America
Transmembrane β-barrels (TMBs) carry out major functions in substrate transport and protein biogenesis but experimental determination of their 3D structure is challenging. Encouraged by successful de novo 3D structure prediction of globular and α-hel...