化学
蛋白质二级结构
分子间力
变性(裂变材料)
氢键
结晶学
原位
热稳定性
蛋白质结构
大豆蛋白
酰胺
测试表
分子
生物化学
有机化学
核化学
作者
E. N. Clare Mills,N. Marigheto,Nikolaus Wellner,Shirley A. Fairhurst,John A. Jenkins,Robert Mann,Peter Belton
标识
DOI:10.1016/s1570-9639(03)00114-6
摘要
The thermal denaturation behaviour of glycinin solutions has been studied in situ as a function of ionic strength using various spectroscopic methods. Changes in secondary structure occurred at temperatures above 60 degrees C, well before the onset of gelation. Even after heating to 95 degrees C, much of the native beta-sheet structure of glycinin was retained, as indicated by the amide I peak maximum at 1635 cm(-1) in the Fourier transformed infrared (FT-IR) spectrum. This was accompanied by an increase in the 1625 cm(-1) band, indicative of the formation of intermolecular beta-sheet associated with protein aggregation. Nuclear magnetic resonance (NMR) spectroscopy confirmed the presence of highly mobile regions in glycinin comprising predominantly of Gln and Glu residues, corresponding to mobile regions previously identified by crystallographic studies. There was also evidence of a hydrogen-bonded structure within this mobile region, which may correspond to an alpha-helical region from Pro(256) to (or just before) Pro(269) in proglycinin. This structure disappeared at 95 degrees C, when heat-set gel formation occurred, as indicated by a sudden broadening and weakening of the NMR signal. Otherwise the NMR spectrum changed little during heating, emphasising the remarkable thermal stability of glycinin. It is proposed that during heating the core beta-barrel structure remains intact, but that the interface between the beta-domains melts, revealing hydrophobic faces which may then form new structures in a gel-network. As Cys(45), which forms the disulfide with Cys(12) linking the acidic and basic polypeptides, is found in this interface, such a rearrangement of the individual beta-domains could be accompanied by cleavage of this disulfide bond, as is observed experimentally. Such information contributes to our understanding the aggregative behaviour of proteins, and hence develops knowledge-based strategies for controlling and manipulating it.
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