ANALYSIS OF HYPOTHETICAL PROTEINS IN YERSINIA PESTIS ANGOLA

Registration ID: IJNRD_222993

Published ID: IJNRD2406047

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NAVYA DALVI, SNEHAL HATWAR

Hypothetical protein finding ensuring activity and structure of yersinia pestis

The notorious gram-negative Coccobacillus enterobacterium Yersinia pestis is the cause of three devastating global plague pandemics. In order to effectively develop drugs and vaccines, in silico analysis of the putative proteins is required, given the current outbreak of this zoonotic illness. Since a large fraction of the proteome consists of hypothetical proteins, it is crucial to identify them both structurally and functionally. Using a variety of bioinformatic techniques and software, the current study assessed the physicochemical parameters, predicted homology-based 3D structure, and annotated functions of the hypothetical Y. pestis protein. The tertiary model, which was minimized energetically, was predicted using the Swiss Model. The model was deemed to be good by the quality assessment servers. Analysis of protein-protein interactions was done using the STRING service. Tools such as Pfam and InterPro were utilized for functional prediction.

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NAVYA DALVI & SNEHAL HATWAR (June-2024). ANALYSIS OF HYPOTHETICAL PROTEINS IN YERSINIA PESTIS ANGOLA. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), a495-a504. https://ijnrd.org/papers/IJNRD2406047.pdf

Volume 9 Issue 6, June-2024

Pages : a495-a504

Paper Reg. ID: IJNRD_222993

Published Paper Id: IJNRD2406047

Downloads: 000122253

Research Area: Science & Technology

Author Type: Indian Author

Country: Nagpur, Maharashtra , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406047.pdf

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