UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2404731


Registration ID:
537315

Page Number

h251-h265

Share This Article


Jetir RMS

Title

COMPUTATIONAL ANALYSIS AND STRUCTURE-BASED DRUG DESIGN FOR MISFOLDING OF HUNTINGTON’S DISEASE FRAGMENT

Abstract

Huntington’s disease (HD) is a destructive genetic condition inherited dominantly, primarily caused by the expansion of CAG repeats in exon 1 of the Huntington gene on chromosome 4. This expansion results in the production of mutant forms of the huntingtin protein (m HTT) with abnormal polyglutamine sequences, initiating the disease’s progression. The initial 17 residues of amino acids in huntingtin protein [HTT(1 17)] are critical in defending against various pathological manifestations both in laboratory experiments and in living organisms. A recent study investigates how a single chain variable fragment (scFv) known as C4 effectively blocks the formation of amyloid structures by exon1 fragments of huntingtin under laboratory conditions. The research also explores the structural mechanisms underlying this inhibition and protection by analyzing the crystal structure of the C4 scFv and HTT(1 17) complex. The peptide interacts with specific residues (3 11), forming an amphipathic helix that binds to the antibody fragment. This binding occurs within a dimeric C4 scFv: HTT (1 17) complex, involving the hydrophobic surface and β sheet interface. Further, elucidation through high resolution NMR and physicochemical analysis in solution provides deeper insights into how C4 scFv effectively prevents HTT aggregation, thus demonstrating its potential as a therapeutic candidate. Furthermore, computational analysis will be conducted to assess the structural properties, total protein atoms, domains, and functions of protein samples of Huntington homologs related to a protein sequence of interest. This will be followed by an interactive examination of sequence structure relationships, active sites, and bound chemicals. Active site identification is done using the PDB file format in PyMOL. Drug designing will be performed to study the interaction of Huntington’s Disease receptors with associated ligands. Quality estimation of protein structure using server PROCHECK, ERRAT, and Ramachandran plot which identifies possible secondary structure protein can adapt. The alignment program uses clustal omega and InterPro Scan to generate a phylogenetic tree. CADD is used to dock the appropriate ligand to the binding site of the protein. Finally, STRING was used to determine potential protein-protein interaction.

Key Words

Key Words,Huntington’s disease, Drug designing, Quality estimation of protein, protein protein interaction, structural analysis, phylogenetic relationships.

Cite This Article

"COMPUTATIONAL ANALYSIS AND STRUCTURE-BASED DRUG DESIGN FOR MISFOLDING OF HUNTINGTON’S DISEASE FRAGMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h251-h265, April-2024, Available :http://www.jetir.org/papers/JETIR2404731.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"COMPUTATIONAL ANALYSIS AND STRUCTURE-BASED DRUG DESIGN FOR MISFOLDING OF HUNTINGTON’S DISEASE FRAGMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph251-h265, April-2024, Available at : http://www.jetir.org/papers/JETIR2404731.pdf

Publication Details

Published Paper ID: JETIR2404731
Registration ID: 537315
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.38936
Page No: h251-h265
Country: GREATER NOIDA, Uttar Pradesh, United States of America .
Area: Biological Science
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00041

Print This Page

Current Call For Paper

Jetir RMS