2017
DOI: 10.1007/s00044-017-1822-0
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Structural and functional characterization of a unique hypothetical protein (WP_003901628.1) of Mycobacterium tuberculosis: a computational approach

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Cited by 9 publications
(5 citation statements)
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“…This situation demonstrates the need to comprehend/improve the functional characterization processes of these proteins. In this context, we propose, as supported by the literature [ 255 , 257 , 258 , 262 , 263 , 264 , 265 , 266 ], one in silico workflow for functional prediction of hypothetical proteins ( Figure 3 ).…”
Section: Approaches Used To Search For New Diagnostic Candidatesmentioning
confidence: 84%
“…This situation demonstrates the need to comprehend/improve the functional characterization processes of these proteins. In this context, we propose, as supported by the literature [ 255 , 257 , 258 , 262 , 263 , 264 , 265 , 266 ], one in silico workflow for functional prediction of hypothetical proteins ( Figure 3 ).…”
Section: Approaches Used To Search For New Diagnostic Candidatesmentioning
confidence: 84%
“… 56 The ligand binds with pockets when they are geometrically compatible with binding site assembly. 57 A binding site score of zero for the Mast-Cs complex indicated that mastoparan binding sites were well encapsulated in the chitosan ring and there was no opportunity to interact with proteases and peptidases. This made the Mast-Cs nanocomplex suitable for in vivo therapeutic evaluation ( Table 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…Despite the methodological advancements, the high throughput experimental results are yet not available for the majority of pathogens. As a result, the efforts to find essential drug targets now mostly rely on bioinformatics based predictions ( Uddin and Rafi, 2017 ). In silico based subtractive genomic analysis has been widely applied for strain-specific drug target identifications, particularly for the resistant pathogens ( Uddin et al, 2019 ).…”
Section: Discussionmentioning
confidence: 99%