Ghosh Anirban, Pithadia Amit S, Bhat Jyotsna, Bera Supriyo, Midya Anupam, Fierke Carol A, Ramamoorthy Ayyalusamy, Bhunia Anirban
Department of Biophysics, Bose Institute, P-1/12 CIT Scheme VII (M), Kolkata 700 054, India.
Department of Chemistry, University of Michigan, 930 N. University Avenue, Ann Arbor, MI 48109-1055, USA.
Biochemistry. 2015 Apr 7;54(13):2249-2261. doi: 10.1021/acs.biochem.5b00061. Epub 2015 Mar 24.
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 nine-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 influences 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 interpeptide 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.
分子自组装是一种在自然界广泛观察到的现象,人们已通过有机分子、蛋白质、DNA和肽来利用这一现象研究复杂的生物系统。这些自组装系统也可用于理解分子和结构生物学,从而启发设计和合成日益复杂的生物材料。具体而言,利用这些构建模块研究蛋白质折叠和错误折叠具有特殊价值,因为它能为与多种蛋白质错误折叠疾病或淀粉样疾病(如阿尔茨海默病、帕金森病、II型糖尿病)相关的肽聚集提供深刻见解。在此,通过生物物理、光谱和模拟研究对严重急性呼吸综合征冠状病毒包膜外膜C末端尾巴的九肽TK9及其变体的自组装进行了表征,并证实这些肽的结构影响其聚集倾向,因此,它们可模拟淀粉样蛋白。形成富含β-折叠原纤维的TK9含有一个对β-折叠形成可能至关重要的关键序列基序,因此使其成为研究淀粉样纤维化的一个有趣系统。通过模拟进一步研究了TK9聚集体,以评估分子水平上可能的肽内和肽间相互作用。这些自组装肽还可通过疏水和亲电识别相互作用作为淀粉样蛋白抑制剂。我们的结果表明,TK9可抑制与II型糖尿病病理相关的37个氨基酸肽hIAPP的纤维化。因此,报告了生物物理和核磁共振实验结果,揭示了对肽折叠事件以及淀粉样蛋白聚集抑制的分子水平理解。