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Self-Assembly of a 9-Residue Amyloid-Forming Peptide Fragment of SARS Corona Virus E-protein: Mechanism of Self Aggregation and Amyloid-Inhibition of hIAPP

Identifieur interne : 000917 ( Main/Exploration ); précédent : 000916; suivant : 000918

Self-Assembly of a 9-Residue Amyloid-Forming Peptide Fragment of SARS Corona Virus E-protein: Mechanism of Self Aggregation and Amyloid-Inhibition of hIAPP

Auteurs : Anirban Ghosh [Inde] ; Amit S. Pithadia [États-Unis] ; Jyotsna Bhat [Inde] ; Supriyo Bera [Inde] ; Anupam Midya [Inde] ; Carol A. Fierke [États-Unis] ; Ayyalusamy Ramamoorthy [États-Unis] ; Anirban Bhunia [Inde, États-Unis]

Source :

RBID : PMC:4903029

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English descriptors

Abstract

Molecular self-assembly, a phenomenon widely observed in nature, has been exploited through organic molecules, proteins, DNA and peptides to study complex biological systems. These self-assembly systems may also be used in understanding the molecular and structural biology which can inspire the design and synthesis of increasingly complex biomaterials. Specifically, use of these building blocks to investigate protein folding and misfolding has been of particular value since it can provide tremendous insights into peptide aggregation related to a variety of protein misfolding diseases, or amyloid diseases (e.g. Alzheimer’s disease, Parkinson’s disease, type-II diabetes). Herein, the self-assembly of TK9, a 9 residue peptide of the extra membrane C-terminal tail of the SARS Corona virus envelope, and its variants were characterized through biophysical, spectroscopic and simulated studies, and it was confirmed that the structure of these peptides influence their aggregation propensity, hence, mimicking amyloid proteins. TK9, which forms a beta-sheet rich fibril, contains a key sequence motif that may be critical for beta-sheet formation, thus making it an interesting system to study amyloid fibrillation. TK9 aggregates were further examined through simulations to evaluate the possible intra- and inter peptide interactions at the molecular level. These self-assembly peptides can also serve as amyloid inhibitors through hydrophobic and electrophilic recognition interactions. Our results show that TK9 inhibits the fibrillation of hIAPP, a 37 amino acid peptide implicated in the pathology of type-II diabetes. Thus, biophysical and NMR experimental results have revealed a molecular level understanding of peptide folding events, as well as the inhibition of amyloid-protein aggregation are reported.


Url:
DOI: 10.1021/acs.biochem.5b00061
PubMed: 25785896
PubMed Central: 4903029


Affiliations:


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<p id="P1">Molecular self-assembly, a phenomenon widely observed in nature, has been exploited through organic molecules, proteins, DNA and peptides to study complex biological systems. These self-assembly systems may also be used in understanding the molecular and structural biology which can inspire the design and synthesis of increasingly complex biomaterials. Specifically, use of these building blocks to investigate protein folding and misfolding has been of particular value since it can provide tremendous insights into peptide aggregation related to a variety of protein misfolding diseases, or amyloid diseases (e.g. Alzheimer’s disease, Parkinson’s disease, type-II diabetes). Herein, the self-assembly of
<bold>TK9</bold>
, a 9 residue peptide of the extra membrane C-terminal tail of the SARS Corona virus envelope, and its variants were characterized through biophysical, spectroscopic and simulated studies, and it was confirmed that the structure of these peptides influence their aggregation propensity, hence, mimicking amyloid proteins.
<bold>TK9</bold>
, which forms a beta-sheet rich fibril, contains a key sequence motif that may be critical for beta-sheet formation, thus making it an interesting system to study amyloid fibrillation.
<bold>TK9</bold>
aggregates were further examined through simulations to evaluate the possible intra- and inter peptide interactions at the molecular level. These self-assembly peptides can also serve as amyloid inhibitors through hydrophobic and electrophilic recognition interactions. Our results show that
<bold>TK9</bold>
inhibits the fibrillation of hIAPP, a 37 amino acid peptide implicated in the pathology of type-II diabetes. Thus, biophysical and NMR experimental results have revealed a molecular level understanding of peptide folding events, as well as the inhibition of amyloid-protein aggregation are reported.</p>
</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Inde</li>
<li>États-Unis</li>
</country>
</list>
<tree>
<country name="Inde">
<noRegion>
<name sortKey="Ghosh, Anirban" sort="Ghosh, Anirban" uniqKey="Ghosh A" first="Anirban" last="Ghosh">Anirban Ghosh</name>
</noRegion>
<name sortKey="Bera, Supriyo" sort="Bera, Supriyo" uniqKey="Bera S" first="Supriyo" last="Bera">Supriyo Bera</name>
<name sortKey="Bhat, Jyotsna" sort="Bhat, Jyotsna" uniqKey="Bhat J" first="Jyotsna" last="Bhat">Jyotsna Bhat</name>
<name sortKey="Bhunia, Anirban" sort="Bhunia, Anirban" uniqKey="Bhunia A" first="Anirban" last="Bhunia">Anirban Bhunia</name>
<name sortKey="Midya, Anupam" sort="Midya, Anupam" uniqKey="Midya A" first="Anupam" last="Midya">Anupam Midya</name>
</country>
<country name="États-Unis">
<noRegion>
<name sortKey="Pithadia, Amit S" sort="Pithadia, Amit S" uniqKey="Pithadia A" first="Amit S." last="Pithadia">Amit S. Pithadia</name>
</noRegion>
<name sortKey="Bhunia, Anirban" sort="Bhunia, Anirban" uniqKey="Bhunia A" first="Anirban" last="Bhunia">Anirban Bhunia</name>
<name sortKey="Bhunia, Anirban" sort="Bhunia, Anirban" uniqKey="Bhunia A" first="Anirban" last="Bhunia">Anirban Bhunia</name>
<name sortKey="Fierke, Carol A" sort="Fierke, Carol A" uniqKey="Fierke C" first="Carol A." last="Fierke">Carol A. Fierke</name>
<name sortKey="Fierke, Carol A" sort="Fierke, Carol A" uniqKey="Fierke C" first="Carol A." last="Fierke">Carol A. Fierke</name>
<name sortKey="Fierke, Carol A" sort="Fierke, Carol A" uniqKey="Fierke C" first="Carol A." last="Fierke">Carol A. Fierke</name>
<name sortKey="Ramamoorthy, Ayyalusamy" sort="Ramamoorthy, Ayyalusamy" uniqKey="Ramamoorthy A" first="Ayyalusamy" last="Ramamoorthy">Ayyalusamy Ramamoorthy</name>
<name sortKey="Ramamoorthy, Ayyalusamy" sort="Ramamoorthy, Ayyalusamy" uniqKey="Ramamoorthy A" first="Ayyalusamy" last="Ramamoorthy">Ayyalusamy Ramamoorthy</name>
</country>
</tree>
</affiliations>
</record>

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