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  1. Article ; Online: Isolation, characterization, and genome analysis of novel bacteriophage - Stenotrophomonas phageCM1.

    Koshy, Calmly M / Sugumar, Shobana

    Microbial pathogenesis

    2023  Volume 185, Page(s) 106403

    Abstract: A common environmental bacteria called Stenotrophomonas maltophilia has become an organism responsible for significant nosocomial infection, mortality in immunocompromised patients, and significantly increasing morbidity and is challenging to treat due ... ...

    Abstract A common environmental bacteria called Stenotrophomonas maltophilia has become an organism responsible for significant nosocomial infection, mortality in immunocompromised patients, and significantly increasing morbidity and is challenging to treat due to the antibiotic resistance activity of the organism. and bacteriophage therapy is one of the promising treatments against the organism. In this research, we isolated, identified, and characterized Stenotrophomonas phage CM1 against S. maltophilia. Stenotrophomonas phage CM1 head was measured to have a diameter of around 224.25 nm and a tail length of about 159 nm. The phage was found to have noticeable elongated tail spikes around 125 nm in length, the Myoviridae family of viruses, which is categorized under the order Caudovirales. The ideal pH for growth was around 7, demonstrated good thermal stability when incubated at 37-60 °C for 30 min or 60 min, and phage infectivity decreased marginally after 30 min of incubation at 1-5% chloroform concentration. Phage was 3,19,518 base pairs long and had an averaged G + C composition of 43.9 %; 559 open-reading frames (ORFs) were found in the bacteriophage genome, in which 508 of them are hypothetical proteins, 22 of them are other known proteins, 29 of them are tRNAs, and one of them is restriction enzyme. A phylogenetic tree was reconstructed, demonstrating that CM1 shares a close evolutionary relationship with other Stenotrophomonas phages.
    MeSH term(s) Humans ; Bacteriophages/genetics ; Stenotrophomonas/genetics ; Phylogeny ; Genome, Viral ; Myoviridae/genetics ; Open Reading Frames
    Language English
    Publishing date 2023-10-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 632772-2
    ISSN 1096-1208 ; 0882-4010
    ISSN (online) 1096-1208
    ISSN 0882-4010
    DOI 10.1016/j.micpath.2023.106403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Study of Cadmium Metal Resistance in

    Ramakrishnan, Sadhna / Muruganraj, Tharani / Majumdar, Rikhia / Sugumar, Shobana

    Indian journal of microbiology

    2023  Volume 63, Issue 1, Page(s) 91–99

    Abstract: Metal-resistant bacteria are recommended for metal removal applications due to their rapid multiplication and growth rates. To ensure safety replenishment in contaminated areas frequently hampered by heavy metal toxicity, it is crucial to comprehend ... ...

    Abstract Metal-resistant bacteria are recommended for metal removal applications due to their rapid multiplication and growth rates. To ensure safety replenishment in contaminated areas frequently hampered by heavy metal toxicity, it is crucial to comprehend their coping mechanisms under heavy metal stress. This study primarily examines the role of EPS (exopolysaccharide) in
    Language English
    Publishing date 2023-02-25
    Publishing country India
    Document type Journal Article
    ZDB-ID 413422-9
    ISSN 0973-7715 ; 0046-8991
    ISSN (online) 0973-7715
    ISSN 0046-8991
    DOI 10.1007/s12088-023-01066-9
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  3. Article ; Online: Review on

    Majumdar, Rikhia / Karthikeyan, Hariharan / Senthilnathan, Vaishnavi / Sugumar, Shobana

    Recent patents on biotechnology

    2022  Volume 16, Issue 4, Page(s) 329–354

    Abstract: Stenotrophomonas maltophilia is an opportunistic pathogen that results in nosocomial infections in immunocompromised individuals. These bacteria colonize on the surface of medical devices and therapeutic equipment like urinary catheters, endoscopes, and ... ...

    Abstract Stenotrophomonas maltophilia is an opportunistic pathogen that results in nosocomial infections in immunocompromised individuals. These bacteria colonize on the surface of medical devices and therapeutic equipment like urinary catheters, endoscopes, and ventilators, causing respiratory and urinary tract infections. The low outer membrane permeability of multidrug-resistance efflux systems and the two chromosomally encoded β- lactamases present in S. maltophilia are challenging for arsenal control. The cell-associated and extracellular virulence factors in S. maltophilia are involved in colonization and biofilm formation on the host surfaces. The spread of antibiotic-resistant genes in the pathogenic S. maltophilia attributes to bacterial resistance against a wide range of antibiotics, including penicillin, quinolones, and carbapenems. So far, tetracycline derivatives, fluoroquinolones, and trimethoprim-sulfamethoxazole (TMP-SMX) are considered promising antibiotics against S. maltophilia. Due to the adaptive nature of the intrinsically resistant mechanism towards the number of antibiotics and its ability to acquire new resistance via mutation and horizontal gene transfer, it is quite tricky for medicinal contribution against S. maltophilia. The current review summarizes the literary data on pathogenicity, quorum sensing, biofilm formation, virulence factors, and antibiotic resistance of S. maltophilia.
    MeSH term(s) Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/therapeutic use ; Drug Resistance, Multiple, Bacterial ; Gram-Negative Bacterial Infections/drug therapy ; Gram-Negative Bacterial Infections/microbiology ; Humans ; Microbial Sensitivity Tests ; Opportunistic Infections/microbiology ; Patents as Topic ; Stenotrophomonas maltophilia/drug effects ; Stenotrophomonas maltophilia/genetics ; Virulence Factors/genetics ; Virulence Factors/therapeutic use ; beta-Lactamases/genetics ; beta-Lactamases/therapeutic use
    Chemical Substances Anti-Bacterial Agents ; Virulence Factors ; beta-Lactamases (EC 3.5.2.6)
    Language English
    Publishing date 2022-05-12
    Publishing country United Arab Emirates
    Document type Journal Article ; Review
    ISSN 2212-4012
    ISSN (online) 2212-4012
    DOI 10.2174/1872208316666220512121205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: In silico analysis of diversity, specificity and molecular evolution of Stenotrophomonas phages

    Sasirekha, Revathy / Sharma, Osheen / Sugumar, Shobana

    Environmental microbiology reports. 2022 June, v. 14, no. 3

    2022  

    Abstract: In this study, we have focused on the lytic phage proteins encoded by the Stenotrophomonas phages. A total of 60 lytic proteins were identified to be encoded by 19 different phages. Those proteins were characterized under eight classes: amidases, ... ...

    Abstract In this study, we have focused on the lytic phage proteins encoded by the Stenotrophomonas phages. A total of 60 lytic proteins were identified to be encoded by 19 different phages. Those proteins were characterized under eight classes: amidases, muramidases, pectate lyase, peptidases, holins and spanins. The phages encoding these proteins come under the family of Ackermannviridae, Autographiviridae, Myoviridae, Podoviridae and Siphoviridae. All the phages encoding those proteins were found to infect Stenotrophomonas maltophilia. Among the phages, about 50% were found to undergo a lytic lifecycle. The isolated proteins were clustered according to the similarity in the amino acid sequence. These clusters were used to make their phylogenetic tree. The co‐occurrence of the amidase, pectate lyase and lipase genes in the phage genome was found using a correlation analysis.
    Keywords Ackermannviridae ; Autographiviridae ; Myoviridae ; Podoviridae ; Siphoviridae ; Stenotrophomonas maltophilia ; amidase ; amino acid sequences ; bacteriophages ; carboxylic ester hydrolases ; computer simulation ; pectate lyase ; peptidases ; phylogeny
    Language English
    Dates of publication 2022-06
    Size p. 422-430.
    Publishing place John Wiley & Sons, Inc.
    Document type Article
    Note JOURNAL ARTICLE
    ISSN 1758-2229
    DOI 10.1111/1758-2229.13025
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: In silico analysis of diversity, specificity and molecular evolution of Stenotrophomonas phages.

    Sasirekha, Revathy / Sharma, Osheen / Sugumar, Shobana

    Environmental microbiology reports

    2021  Volume 14, Issue 3, Page(s) 422–430

    Abstract: In this study, we have focused on the lytic phage proteins encoded by the Stenotrophomonas phages. A total of 60 lytic proteins were identified to be encoded by 19 different phages. Those proteins were characterized under eight classes: amidases, ... ...

    Abstract In this study, we have focused on the lytic phage proteins encoded by the Stenotrophomonas phages. A total of 60 lytic proteins were identified to be encoded by 19 different phages. Those proteins were characterized under eight classes: amidases, muramidases, pectate lyase, peptidases, holins and spanins. The phages encoding these proteins come under the family of Ackermannviridae, Autographiviridae, Myoviridae, Podoviridae and Siphoviridae. All the phages encoding those proteins were found to infect Stenotrophomonas maltophilia. Among the phages, about 50% were found to undergo a lytic lifecycle. The isolated proteins were clustered according to the similarity in the amino acid sequence. These clusters were used to make their phylogenetic tree. The co-occurrence of the amidase, pectate lyase and lipase genes in the phage genome was found using a correlation analysis.
    MeSH term(s) Bacteriophages ; Evolution, Molecular ; Genome, Viral ; Phylogeny ; Stenotrophomonas/genetics
    Language English
    Publishing date 2021-11-18
    Publishing country United States
    Document type Journal Article
    ISSN 1758-2229
    ISSN (online) 1758-2229
    DOI 10.1111/1758-2229.13025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Identification of natural inhibitor against L1 β-lactamase present in Stenotrophomonas maltophilia.

    H, Sreenithya K / Jade, Dhananjay / Harrison, Michael A / Sugumar, Shobana

    Journal of molecular modeling

    2022  Volume 28, Issue 11, Page(s) 342

    Abstract: Antibiotic resistance is threatening the medical industry in treating microbial infections. Many organisms are acquiring antibiotic resistance because of the continuous use of the same drug. Gram-negative organisms are developing multi-drug resistance ... ...

    Abstract Antibiotic resistance is threatening the medical industry in treating microbial infections. Many organisms are acquiring antibiotic resistance because of the continuous use of the same drug. Gram-negative organisms are developing multi-drug resistance properties (MDR) due to chromosomal level changes that occurred as a part of evolution or some intrinsic factors already present in the organism. Stenotrophomonas maltophilia falls under the category of multidrug-resistant organism. WHO has also urged to evaluate the scenario and develop new strategies for making this organism susceptible to otherwise resistant antibiotics. Using novel compounds as drugs can ameliorate the issue to some extent. The β-lactamase enzyme in the bacteria is responsible for inhibiting several drugs currently being used for treatment. This enzyme can be targeted to find an inhibitor that can inhibit the enzyme activity and make the organism susceptible to β-lactam antibiotics. Plants produce several secondary metabolites for their survival in adverse environments. Several phytoconstituents have antimicrobial properties and have been used in traditional medicine for a long time. The computational technologies can be exploited to find the best compound from many compounds. Virtual screening, molecular docking, and dynamic simulation methods are followed to get the best inhibitor for L1 β-lactamase. IMPPAT database is screened, and the top hit compounds are studied for ADMET properties. Finally, four compounds are selected to set for molecular dynamics simulation. After all the computational calculations, withanolide R is found to have a better binding and forms a stable complex with the protein. This compound can act as a potent natural inhibitor for L1 β-lactamase.
    MeSH term(s) Anti-Bacterial Agents/metabolism ; Anti-Bacterial Agents/pharmacology ; Microbial Sensitivity Tests ; Molecular Docking Simulation ; Stenotrophomonas maltophilia/metabolism ; Withanolides ; beta-Lactamases/chemistry ; beta-Lactams/metabolism
    Chemical Substances Anti-Bacterial Agents ; Withanolides ; beta-Lactams ; beta-lactamase L1 (EC 3.5.2.-) ; beta-Lactamases (EC 3.5.2.6)
    Language English
    Publishing date 2022-10-05
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-022-05336-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Identification of natural inhibitor against L1 β-lactamase present in Stenotrophomonas maltophilia

    H, Sreenithya K. / Jade, Dhananjay / Harrison, Michael A. / Sugumar, Shobana

    J Mol Model. 2022 Nov., v. 28, no. 11 p.342-342

    2022  

    Abstract: Antibiotic resistance is threatening the medical industry in treating microbial infections. Many organisms are acquiring antibiotic resistance because of the continuous use of the same drug. Gram-negative organisms are developing multi-drug resistance ... ...

    Abstract Antibiotic resistance is threatening the medical industry in treating microbial infections. Many organisms are acquiring antibiotic resistance because of the continuous use of the same drug. Gram-negative organisms are developing multi-drug resistance properties (MDR) due to chromosomal level changes that occurred as a part of evolution or some intrinsic factors already present in the organism. Stenotrophomonas maltophilia falls under the category of multidrug-resistant organism. WHO has also urged to evaluate the scenario and develop new strategies for making this organism susceptible to otherwise resistant antibiotics. Using novel compounds as drugs can ameliorate the issue to some extent. The β-lactamase enzyme in the bacteria is responsible for inhibiting several drugs currently being used for treatment. This enzyme can be targeted to find an inhibitor that can inhibit the enzyme activity and make the organism susceptible to β-lactam antibiotics. Plants produce several secondary metabolites for their survival in adverse environments. Several phytoconstituents have antimicrobial properties and have been used in traditional medicine for a long time. The computational technologies can be exploited to find the best compound from many compounds. Virtual screening, molecular docking, and dynamic simulation methods are followed to get the best inhibitor for L1 β-lactamase. IMPPAT database is screened, and the top hit compounds are studied for ADMET properties. Finally, four compounds are selected to set for molecular dynamics simulation. After all the computational calculations, withanolide R is found to have a better binding and forms a stable complex with the protein. This compound can act as a potent natural inhibitor for L1 β-lactamase.
    Keywords Stenotrophomonas maltophilia ; antibiotic resistance ; chemical constituents of plants ; databases ; drugs ; enzyme activity ; enzymes ; evolution ; industry ; models ; molecular dynamics ; multiple drug resistance ; secondary metabolites ; traditional medicine
    Language English
    Dates of publication 2022-11
    Size p. 342.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-022-05336-z
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  8. Article ; Online: Identification of Therapeutic Drug Target of Stenotrophomonas maltophilia Through Subtractive Genomic Approach and in-silico Screening Based on 2D Similarity Filtration and Molecular Dynamic Simulation.

    Chandela, Rahul / Jade, Dhananjay / Mohan, Surender / Sharma, Ridhi / Sugumar, Shobana

    Combinatorial chemistry & high throughput screening

    2020  Volume 25, Issue 1, Page(s) 123–138

    Abstract: Background: Stenotrophomonas maltophilia is a multi-drug resistant, gram-negative bacterium that causes opportunistic infections and is associated with high morbidity and mortality in severely immunocompromised individuals.: Aim: The study aimed to ... ...

    Abstract Background: Stenotrophomonas maltophilia is a multi-drug resistant, gram-negative bacterium that causes opportunistic infections and is associated with high morbidity and mortality in severely immunocompromised individuals.
    Aim: The study aimed to find out the drug target and a novel inhibitor for Stenotrophomonas maltophilia.
    Objectives: The current study focused on identifying specific drug targets by subtractive genomes analysis to determine the novel inhibitor for the specified target protein by virtual screening, molecular docking, and molecular simulation approach.
    Materials and methods: In this study, we performed a subtractive genomics approach to identify the novel drug target for S.maltophilia. After obtaining the specific target, the next step was to identify inhibitors that include calculating 2D similarity search, molecular docking, and molecular simulation for drug development for S.maltophilia.
    Results: With an efficient subtractive genomic approach, out of 4386 proteins, five unique targets were found, in which UDP-D-acetylmuramic (murF) was the most remarkable target. Further virtual screening, docking, and dynamics analyses resulted in the identification of seven novel inhibitors.
    Conclusion: Further, in vitro and in vivo bioassay of the identified novel inhibitors could facilitate effective drug use against S.maltophilia.
    MeSH term(s) Anti-Bacterial Agents/pharmacology ; Gram-Negative Bacterial Infections/drug therapy ; Gram-Negative Bacterial Infections/microbiology ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Stenotrophomonas maltophilia/genetics ; Subtractive Hybridization Techniques
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2020-11-23
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 2064785-2
    ISSN 1875-5402 ; 1386-2073
    ISSN (online) 1875-5402
    ISSN 1386-2073
    DOI 10.2174/1871520620666201123094330
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: In-silico

    Sharma, Ridhi / Jade, Dhananjay / Mohan, Surender / Chandel, Rahul / Sugumar, Shobana

    Journal of biomolecular structure & dynamics

    2020  Volume 39, Issue 18, Page(s) 7123–7137

    Abstract: Stenotrophomonas maltophilia, ...

    Abstract Stenotrophomonas maltophilia,
    MeSH term(s) Anti-Bacterial Agents/pharmacology ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Stenotrophomonas maltophilia/metabolism ; beta-Lactamase Inhibitors/pharmacology ; beta-Lactamases/metabolism
    Chemical Substances Anti-Bacterial Agents ; beta-Lactamase Inhibitors ; beta-Lactamases (EC 3.5.2.6)
    Language English
    Publishing date 2020-08-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1805365
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  10. Article ; Online: Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database.

    Al-Khdhairawi, Ahmad / Sanuri, Danish / Akbar, Rahmad / Lam, Su Datt / Sugumar, Shobana / Ibrahim, Nazlina / Chieng, Sylvia / Sairi, Fareed

    Computational biology and chemistry

    2022  Volume 102, Page(s) 107800

    Abstract: Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. They play a key role in the host innate immunity of many organisms. The growing threat of microorganisms resistant to antimicrobial agents and the lack of ... ...

    Abstract Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. They play a key role in the host innate immunity of many organisms. The growing threat of microorganisms resistant to antimicrobial agents and the lack of new commercially available antibiotics have made in silico discovery of AMPs increasingly important. Machine learning (ML) has improved the speed and efficiency of AMP discovery while reducing the cost of experimental approaches. Despite various ML platforms developed, there is still a lack of integrative use of ML platforms for AMP discovery from publicly available protein databases. Therefore, our study aims to screen potential AMPs with antibiofilm properties from databases using ML platforms, followed by protein-peptide molecular docking analysis and molecular dynamics (MD) simulations. A total of 5850 peptides classified as non-AMP were screened from UniProtKB and analyzed using various online ML platforms (e.g., CAMPr3, DBAASP, dPABBs, Hemopred, and ToxinPred). Eight potential AMP peptides against Klebsiella pneumoniae with antibiofilm, non-toxic and non-hemolytic properties were then docked to MrkH, a transcriptional regulator of type 3 fimbriae involved in biofilm formation. Five of eight peptides bound more strongly than the native MrkH ligand when analyzed using HADDOCK and HPEPDOCK. Following the docking studies, our MD simulated that a Neuropeptide B (Peptide 3) bind strongly to the MrkH active sites. The discovery of putative AMPs that exceed the binding energies of the native ligand underscores the utility of the combined ML and molecular simulation strategies for discovering novel AMPs with antibiofilm properties.
    MeSH term(s) Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/metabolism ; Antimicrobial Peptides/pharmacology ; Klebsiella pneumoniae/drug effects ; Ligands ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Machine Learning
    Chemical Substances Anti-Bacterial Agents ; Antimicrobial Peptides ; Ligands
    Language English
    Publishing date 2022-12-05
    Publishing country England
    Document type Journal Article
    ISSN 1476-928X
    ISSN (online) 1476-928X
    DOI 10.1016/j.compbiolchem.2022.107800
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