Journal Article
- Predicting quorum sensing peptides using stacked generalization ensemble with gradient boosting based feature selection
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Muthusaravanan Sivaramakrishnan , Rahul Suresh , Kannapiran Ponraj
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J. Microbiol. 2022;60(7):756-765. Published online June 22, 2022
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DOI: https://doi.org/10.1007/s12275-022-2044-9
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Abstract
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Bacteria exist in natural environments for most of their life as
complex, heterogeneous, and multicellular aggregates. Under
these circumstances, critical cell functions are controlled by
several signaling molecules known as quorum sensing (QS)
molecules. In Gram-positive bacteria, peptides are deployed
as QS molecules. The development of antibodies against such
QS molecules has been identified as a promising therapeutic
intervention for bacterial control. Hence, the identification of
QS peptides has received considerable attention. Availability
of a fast and reliable predictive model to effectively identify QS
peptides can help the existing high throughput experiments.
In this study, a stacked generalization ensemble model with
Gradient Boosting Machine (GBM)-based feature selection,
namely EnsembleQS was developed to predict QS peptides
with high accuracy. On selected GBM features (791D), the
EnsembleQS outperformed finely tuned baseline classifiers
and demonstrated robust performance, indicating the superiority
of the model. The accuracy of EnsembleQS is 4% higher
than those resulting from ensemble model on hybrid dataset.
When evaluating an independent data set of 40 QS peptides,
the EnsembleQS model showed an accuracy of 93.4% with
Matthew’s Correlation Coefficient (MCC) and area under the
ROC curve (AUC) values of 0.91 and 0.951, respectively. These
results
suggest that EnsembleQS will be a useful computational
framework for predicting QS peptides and will efficiently
support proteomics research. The source code and all
datasets used in this study are publicly available at https://
github.com/proteinexplorers/EnsembleQS.
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Citations
Citations to this article as recorded by

- Revolutionizing physics: a comprehensive survey of machine learning applications
Rahul Suresh, Hardik Bishnoi, Artem V. Kuklin, Atharva Parikh, Maxim Molokeev, R. Harinarayanan, Sarvesh Gharat, P. Hiba
Frontiers in Physics.2024;[Epub] CrossRef - DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model
Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Santosh Kumar, Mohammad Ali Moni
Results in Engineering.2024; 24: 102878. CrossRef - Computational tools for exploring peptide-membrane interactions in gram-positive bacteria
Shreya Kumar, Rex Devasahayam Arokia Balaya, Saptami Kanekar, Rajesh Raju, Thottethodi Subrahmanya Keshava Prasad, Richard K. Kandasamy
Computational and Structural Biotechnology Journal.2023; 21: 1995. CrossRef - DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information
Zhen Cui, Si-Guo Wang, Ying He, Zhan-Heng Chen, Qin-Hu Zhang
IEEE Journal of Biomedical and Health Informatics.2023; 27(9): 4611. CrossRef - PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong
Computers in Biology and Medicine.2023; 158: 106784. CrossRef
Research Support, Non-U.S. Gov'ts
- Providencia Isolates Carrying blaPER-1 and blaVIM-2 Genes: Biofilm-Forming Capacity and Biofilm Inhibitory Concentrations for Carbapenem Antibiotics
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Jungmin Kim , Shukho Kim , Hee Woo Lee , Sung Min Kim , Sung Yong Seol
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J. Microbiol. 2011;49(3):512-515. Published online June 30, 2011
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DOI: https://doi.org/10.1007/s12275-011-1221-z
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Abstract
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Multidrug-resistant clinical isolates of Providencia carrying blaPER-1 and blaVIM-2 were evaluated for the abilities to form biofilm and high biofilm forming capacity was demonstrated in them. Minimum biofilm inhibitory concentrations (MBICs), minimum biofilm eradication concentrations (MBECs), and minimum inhibitory concentrations (MICs) for imipenem and meropenem were also determined. In all tested strains, the MBICs were higher than the MICs for both drugs. Interestingly, the MBICs and the MBEC50 for meropenem were lower than those for imipenem in the isolates producing high amounts of biofilm, suggesting that meropenem is superior to imipenem in the growth inhibition and eradication of biofilm forming Providencia strains.
- Acinetobacter baumannii Biofilms: Variations Among Strains and Correlations with Other Cell Properties
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Christin N. McQueary , Luis A. Actis
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J. Microbiol. 2011;49(2):243-250. Published online May 3, 2011
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DOI: https://doi.org/10.1007/s12275-011-0343-7
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41
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62
Scopus
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Abstract
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Acinetobacter baumannii is an opportunistic pathogen that causes serious infections in humans by colonizing and persisting on surfaces normally found in hospital settings. The capacity of this pathogen to persist in these settings could be due to its ability to form biofilms on inanimate surfaces. This report shows that
although the ATCC 19606T type strain and 8 different clinical isolates form biofilms, there are significant variations in the cell density and microscopic structures of these cell aggregates, with 3 of the isolates forming pellicles floating on the surface of stagnant broth cultures. PCR indicated that, like ATCC 19606T, all 8 clinical isolates harbor all the genetic components of the CsuA/BABCDE chaperone-usher pili assembly system, which is needed for biofilm formation on plastic. Pili detection in cells of all strains examined supports the presence and function of a pilus assembly system. However, only one of them produced the putative ATCC 19606T CsuA/B pilin subunit protein. Hydrophobicity tests and motility assays also showed significant variations among all tested strains and did not result in direct correlations between the biofilm phenotype and cell properties that could affect biofilm formation on abiotic surfaces. This lack of correlation among these 3 phenotypes may reflect some of the variations already reported with this pathogen, which may pose a challenge in the treatment of the infections this pathogen causes in humans using biofilm formation on abiotic surfaces as a target.
- Inhibitory Effect of Lactobacillus reuteri on Periodontopathic and Cariogenic Bacteria
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Mi-Sun Kang , Jong-Suk Oh , Hyun-Chul Lee , Hoi-Soon Lim , Seok-Woo Lee , Kyu-Ho Yang , Nam-Ki Choi , Seon-Mi Kim
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J. Microbiol. 2011;49(2):193-199. Published online May 3, 2011
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DOI: https://doi.org/10.1007/s12275-011-0252-9
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38
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73
Scopus
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Abstract
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The interaction between Lactobacillus reuteri, a probiotic bacterium, and oral pathogenic bacteria have not been studied adequately. This study examined the effects of L. reuteri on the proliferation of periodontopathic bacteria including Aggregatibacter actinomycetemcomitans, Fusobacterium nucleatum, Porphyromonas gingivalis, and Tannerella forsythia, and on the formation of Streptococcus mutans biofilms. Human-derived L. reuteri strains (KCTC 3594 and KCTC 3678) and rat-derived L. reuteri KCTC 3679 were used. All strains exhibited significant inhibitory effects on the growth of periodontopathic bacteria and the formation of S. mutans
biofilms. These antibacterial activities of L. reuteri were attributed to the production of organic acids, hydrogen peroxide, and a bacteriocin-like compound. Reuterin, an antimicrobial factor, was produced only by L. reuteri KCTC 3594. In addition, L. reuteri inhibited the production of methyl mercaptan by F. nucleatum and P. gingivalis. Overall, these results suggest that L. reuteri may be useful as a probiotic agent for improving oral health.
Journal Article
- Screening-Level Assays for Potentially Human-Infectious Environmental Legionella spp.
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Helen Y. Buse , Abby Brehm , Jorge W. Santo Domingo , Nicholas J. Ashbolt
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J. Microbiol. 2011;49(2):200-207. Published online May 3, 2011
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DOI: https://doi.org/10.1007/s12275-011-0233-z
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37
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7
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Abstract
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In spite of the fact that various Legionella species are isolated from nonclinical water settings, there is no standard method to determine whether environmental legionellae may be infectious to humans. Here we provide a screening-level approach based on an in vivo murine (A/J mouse) model and three in vitro
proliferation assays using Acanthamoeba polyphaga, and THP-1 human and J774 murine macrophage cell lines to identify potentially human-infectious legionellae. As an initial demonstration the infectivity potential of three clinical (Legionella pneumophila, L. longbeacheae, and L. micdadei) and three environmental (L.
dumoffii, L. maceachernii, and L. sainthelensi) legionellae were evaluated. A/J mice were intranasally infected and by 6 h post infection (p.i.), there were significant bacterial titers in the lungs. L. pneumophila, L. dumoffii, and L. micdadei densities were higher than L. longbeacheae, L. maceacherni, and L. sainthelensi
at 24 h p.i. However, only L. pneumophila and L. micdadei persisted in the lungs after 48 h, indicating that the other isolates were rapidly cleared. Results from the in vitro assays showed that only L. pneumophila significantly multiplied within A. polyphaga, THP-1 and J774 cells after 72 h, but lysis of any of the in vitro hosts also flagged the strains for potential concern (e.g. L. dumoffii and L. micdadei). The results demonstrate the value of using multiple approaches to assess the potential level of pathogenicity of Legionella strains isolated from different environmental matrices.
Research Support, Non-U.S. Gov't
- Antibacterial Characteristics of Curcuma xanthorrhiza Extract on Streptococcus mutans Biofilm
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Jung-Eun Kim , Hee-Eun Kim , Jae-Kwan Hwang , Ho-Jeong Lee , Ho-Keun Kwon , Baek-Il Kim
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J. Microbiol. 2008;46(2):228-232. Published online June 11, 2008
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DOI: https://doi.org/10.1007/s12275-007-0167-7
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35
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53
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Abstract
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This study evaluated the antibacterial effects of a natural Curcuma xanthorrhiza extract (Xan) on a Streptococcus mutans biofilm by examining the bactericidal activity, inhibition of acidogenesis and morphological alteration. Xan was obtained from the roots of a medicinal plant in Indonesia, which has shown selective
<br><br>antibacterial effects on planktonic S. mutans. S. mutans biofilms were formed on slide glass over a 72 h period and treated with the following compounds for 5, 30, and 60 min: saline, 1% DMSO, 2 mg/ml chlorhexidine (CHX), and 0.1 mg/ml Xan. The Xan group exposed for 5 and 30 min showed significantly fewer colony forming units (CFU, 57.6 and 97.3%, respectively) than those exposed to 1% DMSO, the negative control group (P<0.05). These CFU were similar in number to those slides exposed to CHX, the positive control group. Xan showed similar bactericidal effect to that of CHX but the dose of Xan was one twentieth that of CHX. In addition, the biofilms treated with Xan and CHX maintained a neutral pH for 4 h, which indicates that Xan and CHX inhibit acid production. Scanning electron microscopy showed morphological changes in the cell wall and membrane of the Xan-treated biofilms; an uneven surface and a deformation in contour. Overall, natural Xan has strong bactericidal activity, inhibitory effects on acidogenesis, and alters the microstructure of S. mutans biofilm. In conclusion, Xan has potential in anti-S. mutans therapy for the prevention of dental caries.