AIMC Topic: Biofilms
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Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Jan 1, 2021
Biofilm forming Staphylococcus aureus is a major threat to the health-care industry. It is important to understand the differences between planktonic and biofilm growth forms in the pathogen since conventional treatments targeting the planktonic form...
Combined effects of volume ratio and nitrate recycling ratio on nutrient removal, sludge characteristic and microbial evolution for DPR optimization.
Journal of environmental sciences (China)
Dec 17, 2020
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifying phosphorus removal (DPR) process of Anaerobic Anoxic Oxic-Moving Bed Biofilm Reactor (A/O-MBBR) was investigated. The results showed that prolonged ...
Weissella cibaria EIR/P2-derived exopolysaccharide: A novel alternative to conventional biomaterials targeting periodontal regeneration.
International journal of biological macromolecules
Oct 22, 2020
Healing and regeneration of periodontium are considered as a complex physiological process. Therefore, treatments need to be addressed with highly effective components modulating the multiple pathways. In this study, exopolysaccharide (EPS) produced ...
Weissella
Spectroscopy, Fourier Transform Infrared
Dose-Response Relationship, Drug
Cell Line
Biofilms
Humans
Microbial Sensitivity Tests
Streptococcus mutans
Anti-Bacterial Agents
Antioxidants
Chromatography, High Pressure Liquid
Regeneration
Biocompatible Materials
Periodontium
Dextrans
Polysaccharides, Bacterial
Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules.
Genomics
Mar 27, 2020
Identification of biofilm inhibitory small molecules appears promising for therapeutic intervention against biofilm-forming bacteria. However, the experimental identification of such molecules is a time-consuming task, and thus, the computational app...
Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.
Scientific reports
Feb 14, 2020
Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progressive lung damage and represent the primary cause of morbidity and mortality. Staphylococcus aureus (S. aureus) is one of the earliest bacteria in CF ...
Application of artificial neural networks to describe the combined effect of pH, time, NaCl and ethanol concentrations on the biofilm formation of Staphylococcus aureus.
Microbial pathogenesis
Jan 20, 2020
Biofilms are organized communities, adherent to the surface and resistant to adverse environmental and antimicrobial agents. So, its control is very important. Staphylococcus aureus is an opportunistic pathogen with the biofilm-forming ability that c...
Epigallocatechin gallate has antibacterial and antibiofilm activity in methicillin resistant and susceptible of different lineages in non-cytotoxic concentrations.
Natural product research
Dec 9, 2019
is an opportunistic agent that can cause a variety of infections, both hospital and community-acquired. Epigallocatechin gallate (EGCG), a flavonoid present in the leaves of , has different biological activities, including antimicrobial potential. H...
impairs and mixed biofilm formation .
F1000Research
Nov 15, 2019
(CC), an Indonesian functional food, utilizes the bioactivity of essential oil (MCEO) to maintain oral cavity health. Synergistic interaction between and is a crucial step in the pathogenesis of early childhood caries. Our recent study revealed s...
Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.
Journal of infection in developing countries
Jul 31, 2019
INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity to develop resistance to all classes of antimicrobial compounds. However, very little is known regarding its susceptibility to biocides (antiseptics an...
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks.
Scientific reports
May 14, 2019
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed conventional algorithms in comput...
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