scholarly journals In silico Analysis of Virulence, Resistance Genes and Phylogeny of Helicobacter pylori Strains from Different Continents

Experimed ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 170-178
Author(s):  
Mehmet Demirci ◽  
Özge Ünlü ◽  
Bekir Kocazeybek
Keyword(s):  
Helicobacter Pylori ◽  
Resistance Genes ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis

scholarly journals In Silico Analysis of Antibiotic Resistance Genes in the Gut Microflora of Individuals from Diverse Geographies and Age-Groups

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83823 ◽  
Author(s):  
Tarini Shankar Ghosh ◽  
Sourav Sen Gupta ◽  
Gopinath Balakrish Nair ◽  
Sharmila S. Mande
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
In Silico ◽  
Age Groups ◽  
Antibiotic Resistance Genes ◽  
In Silico Analysis ◽  
Gut Microflora ◽  
Silico Analysis

scholarly journals A Systematic in-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates

2017 ◽  
Vol 18 (5) ◽  
Author(s):  
Deepthi Nammi ◽  
Nagendra S. Yarla ◽  
Vladimir N. Chubarev ◽  
Vadim V. Tarasov ◽  
George E. Barreto ◽  
...  
Keyword(s):  
Helicobacter Pylori ◽  
In Silico ◽  
Drug Target ◽  
In Silico Analysis ◽  
Novel Drug ◽  
Silico Analysis

scholarly journals Clostridioides difficile as a Dynamic Vehicle for the Dissemination of Antimicrobial-Resistance Determinants: Review and In Silico Analysis

2021 ◽  
Vol 9 (7) ◽  
pp. 1383
Author(s):  
Philip Kartalidis ◽  
Anargyros Skoulakis ◽  
Katerina Tsilipounidaki ◽  
Zoi Florou ◽  
Εfthymia Petinaki ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
In Silico ◽  
In Silico Analysis ◽  
Mobile Genetic Elements ◽  
Genetic Elements ◽  
Clostridioides Difficile ◽  
Antimicrobial Resistance Genes ◽  
Silico Analysis

The present paper is divided into two parts. The first part focuses on the role of Clostridioides difficile in the accumulation of genes associated with antimicrobial resistance and then the transmission of them to other pathogenic bacteria occupying the same human intestinal niche. The second part describes an in silico analysis of the genomes of C. difficile available in GenBank, with regard to the presence of mobile genetic elements and antimicrobial resistance genes. The diversity of the C. difficile genome is discussed, and the current status of resistance of the organisms to various antimicrobial agents is reviewed. The role of transposons associated with antimicrobial resistance is appraised; the importance of plasmids associated with antimicrobial resistance is discussed, and the significance of bacteriophages as a potential shuttle for antimicrobial resistance genes is presented. In the in silico study, 1101 C. difficile genomes were found to harbor mobile genetic elements; Tn6009, Tn6105, CTn7 and Tn6192, Tn6194 and IS256 were the ones more frequently identified. The genes most commonly harbored therein were: ermB, blaCDD, vanT, vanR, vanG and vanS. Tn6194 was likely associated with resistance to erythromycin, Tn6192 and CTn7 with resistance to the β-lactams and vancomycin, IS256 with resistance to aminoglycoside and Tn6105 to vancomycin.

Molecular cloning and in silico analysis of potential Fusarium resistance genes in banana

2008 ◽  
Vol 23 (3) ◽  
pp. 431-443 ◽  
Author(s):  
Santy Peraza-Echeverria ◽  
James L. Dale ◽  
Rob M. Harding ◽  
Chris Collet
Keyword(s):  
Molecular Cloning ◽  
Resistance Genes ◽  
In Silico ◽  
In Silico Analysis ◽  
Fusarium Resistance ◽  
Silico Analysis

A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gallbladder Carcinoma ◽  
In Silico ◽  
In Silico Analysis ◽  
Transcriptomic Profile ◽  
Silico Analysis

In Silico Analysis of Single Nucleotide Polymorphism in Human Prothrombin Gene

2019 ◽  
Author(s):  
I. Farah ◽  
A. El-Mubark ◽  
M. Osman ◽  
A. Soliman ◽  
F. Ali ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Prothrombin Gene ◽  
Silico Analysis

Enalos Suite of Tools: Enhancing Cheminformatics and Nanoinfor - matics through KNIME

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki
Keyword(s):  
Data Analysis ◽  
Virtual Screening ◽  
In Silico ◽  
Model Development ◽  
In Silico Analysis ◽  
Material Design ◽  
Efficient Solutions ◽  
Biological Data ◽  
Cost Efficient ◽  
Silico Analysis

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.

In-Silico Analysis of Chromone Containing Sulfonamide Derivatives as Human Carbonic Anhydrase Inhibitors

2013 ◽  
Vol 9 (4) ◽  
pp. 608-616 ◽  
Author(s):  
Zaheer Ul-Haq ◽  
Saman Usmani ◽  
Uzma Mahmood ◽  
Mariya al-Rashida ◽  
Ghulam Abbas
Keyword(s):  
Carbonic Anhydrase ◽  
In Silico ◽  
In Silico Analysis ◽  
Carbonic Anhydrase Inhibitors ◽  
Human Carbonic Anhydrase ◽  
Silico Analysis
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