scholarly journals Subtractive Genomics Approach for in Silico Identification and Characterization of Novel Drug Targets in Neisseria Meningitides Serogroup B

2009 ◽  
Vol 02 (05) ◽  
Author(s):  
Aditya Narayan Sarangi
Keyword(s):  
In Silico ◽  
Drug Targets ◽  
Neisseria Meningitides ◽  
Subtractive Genomics ◽  
In Silico Identification ◽  
Subtractive Genomics Approach ◽  
Novel Drug ◽  
Identification And Characterization ◽  
Novel Drug Targets

Potential Drug Targets Identification against Clostridioides difficile (CD) and Characterization of Indispensable Proteins by a Subtractive Genomics Approach Followed by Virtual Screening

2021 ◽  
Vol 18 ◽  
Author(s):  
Reaz Uddin ◽  
Alina Arif
Keyword(s):  
Drug Targets ◽  
Drug Resistant ◽  
Potential Drug ◽  
Drug Candidates ◽  
Subtractive Genomics ◽  
Clostridioides Difficile ◽  
Subtractive Genomics Approach ◽  
Novel Drug ◽  
Potential Drug Targets ◽  
Novel Drug Targets

Background: Clostridioides difficile (CD) is a multi-drug resistant, enteric pathogenic bacterium. The CD associated infections are the leading cause of nosocomial diarrhea that can further lead to pseudomembranous colitis up to a toxic mega-colon or sepsis with greater mortality and morbidity risks. The CD infection possess higher rates of recurrence due to its greater resistance against antibiotics. Considering its higher rates of recurrence, it has become a major burden on the healthcare facilities. Therefore, there is a dire need to identify novel drug targets to combat with the antibiotic resistance of Clostridioides difficile. Objective: To identify and propose new and novel drug targets against the Clostridioides difficile. Methods: In the current study, a computational subtractive genomics approach was applied to obtain a set of potential drug targets that exists in the multi-drug resistant strain of Clostridioides difficile. Here, the uncharacterized proteins were studied as potential drug targets. The methodology involved several bioinformatics databases and tools. The druggable proteins sequences were retrieved based on non-homology with host proteome and essentiality for the survival of the pathogen. The uncharacterized proteins were functionally characterized using different computational tools and sub-cellular localization was also predicted. The metabolic pathways were analyzed using KEGG database. Eventually, the druggable proteome has been fetched using sequence similarity with the already available drug targets present in DrugBank database. These druggable proteins were further explored for the structural details to identify drug candidates. Results : A priority list of potential drug targets was provided with the help of the applied method on complete proteome set of the C. difficile. Moreover, the drug like compounds have been screened against the potential drug targets to prioritize potential drug candidates. To facilitate the need for drug targets and therapies, the study proposed five potential protein drug targets out of which three proposed drug targets were subjected to homology modeling to explore their structural and functional activities. Conclusion: In conclusion, we proposed three unique, unexplored drug targets against C. difficile. The structure-based methods were applied and resulted in a list of top scoring compounds as potential inhibitors to proposed drug targets.

In silico identification and characterization of sensory motifs in the transcriptional regulators of the ArsR-SmtB family

Metallomics ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1476-1500 ◽  
Author(s):  
Rima Roy ◽  
Saikat Samanta ◽  
Surajit Patra ◽  
Nav Kumar Mahato ◽  
Rudra P. Saha
Keyword(s):  
In Silico ◽  
Transcriptional Regulators ◽  
Transcriptional Repressors ◽  
Structural Elements ◽  
In Silico Identification ◽  
Metal Efflux ◽  
Identification And Characterization ◽  
Secondary Structural Elements ◽  
Efflux Proteins

The ArsR-SmtB family of transcriptional repressors regulates the transcription of metal-efflux proteins by binding specific metals at a variety of secondary structural elements, called motifs, on the surface of the proteins.

scholarly journals In silico identification and characterization of novel microsatellite loci for the Blue-and-yellow Macaw Ara ararauna (Linnaeus, 1758) (Psittaciformes, Psittacidae)

2019 ◽  
Vol 42 (1) ◽  
pp. 68-73
Author(s):  
Cássia Alves Lima-Rezende ◽  
Gislaine Aparecida Fernandes ◽  
Helder Elias da Silva ◽  
Sarah Dobkowski-Marinho ◽  
Victor Fernandes Santos ◽  
...  
Keyword(s):  
Microsatellite Loci ◽  
In Silico ◽  
In Silico Identification ◽  
Identification And Characterization
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