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1.
Bioinformation ; 18(8): 724-729, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-37323560

RESUMO

Oral cancer is becoming more common, and it threatens to be a serious worldwide medical issue. Hence, it is of interest to elucidate the networks between proteins and biologically active compounds, as well as their functional annotations, and cell signaling pathways. The online STRING software was used to create a molecular genetics interaction network named AZURIN on oral bacterial proteins. We also used the cystoscope software to identify 11 nodes and 16 edges with an average node order of 2.91. Thus, we document data on the interaction of protein networks with other proteins for identifying potential therapeutic drug candidates linked to oral disease.

2.
Bioinformation ; 18(9): 757-763, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-37426511

RESUMO

Data on the microbial composition among tobacco chewers and oral cancer patients in Rajasthan, India is of interest. NGS analysis from tobacco chewers and oral cancer comprised the most abundant and core microbial taxa in the oral cavity. It shows that highly pathogenic phylum consisting of 6% Fusobacteria and 9% Firmicutes are observed in oral cancer samples; whereas, 0.6% Treponema, 34% Firmicutes, 0.02% Mollicutes, and 4% Fusobacteria are seen in tobacco chewers. Thus, data shows that the most abundant and core microbial taxa are found in the oral cavity of tobacco chewers and oral cancer patients in Rajasthan, India.

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