Paper Title

ANALYSIS OF HYPOTHETICAL PROTEINS IN YERSINIA PESTIS ANGOLA

Article Identifiers

Registration ID: IJNRD_222993

Published ID: IJNRD2406047

DOI: Click Here to Get

Authors

NAVYA DALVI , SNEHAL HATWAR

Keywords

Hypothetical protein finding ensuring activity and structure of yersinia pestis

Abstract

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.

How To Cite

"ANALYSIS OF HYPOTHETICAL PROTEINS IN YERSINIA PESTIS ANGOLA", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.a495-a504, June-2024, Available :https://ijnrd.org/papers/IJNRD2406047.pdf

Issue

Volume 9 Issue 6, June-2024

Pages : a495-a504

Other Publication Details

Paper Reg. ID: IJNRD_222993

Published Paper Id: IJNRD2406047

Downloads: 000121118

Research Area: Science & Technology

Country: Nagpur, Maharashtra , India

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

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406047

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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