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N- and C-capping preferences for all 20 amino acids in alpha-helical peptides.

机译:α-螺旋肽中所有20个氨基酸的N和C上限偏好。

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摘要

We have determined the N- and C-capping preferences of all 20 amino acids by substituting residue X in the peptides NH2-XAKAAAAKAAAAKAAGY-CONH2 and in Ac-YGAAKAAAAKAAAAKAX-CO2H. Helix contents were measured by CD spectroscopy to obtain rank orders of capping preferences. The data were further analyzed by our modified Lifson-Roig helix-coil theory, which includes capping parameters (n and c), to find free energies of capping (-RT ln n and -RT ln c), relative to Ala. Results were obtained for charged and uncharged termini and for different charged states of titratable side chains. N-cap preferences varied from Asn (best) to Gln (worst). We find, as expected, that amino acids that can accept hydrogen bonds from otherwise free backbone NH groups, such as Asn, Asp, Ser, Thr, and Cys generally have the highest N-cap preference. Gly and acetyl group are favored, as are negative charges in side chains and at the N-terminus. Our N-cap preference scale agrees well with preferences in proteins. In contrast, we find little variation when changing the identity of the C-cap residue. We find no preference for Gly at the C-cap in contrast to the situation in proteins. Both N-cap and C-cap results for Tyr and Trp are inaccurate because their aromatic groups affect the CD spectrum. The data presented here are of value in rationalizing mutations at capping sites in proteins and in predicting the helix contents of peptides.
机译:我们已经通过取代肽NH2-XAKAAAAKAAAAKAAGY-CONH2和Ac-YGAAKAAAAKAAAAKAX-CO2H中的残基X确定了所有20个氨基酸的N-和C-封端优先级。通过CD光谱法测量螺旋含量以获得封端偏好的等级顺序。通过改进的Lifson-Roig螺旋线圈理论对数据进行了进一步分析,该理论包括上限参数(n和c),以找到相对于丙氨酸的上限自由能(-RT ln n和-RT ln c)。对于带电荷和不带电荷的末端以及可滴定侧链的不同带电状态而获得。 N上限偏好从Asn(最佳)到Gln(最差)不等。我们发现,正如预期的那样,可以从其他自由骨架的NH基团(如Asn,Asp,Ser,Thr和Cys)接受氢键的氨基酸通常具有最高的N-cap偏好性。甘氨酸和乙酰基以及侧链和N端的负电荷都是有利的。我们的N-cap偏好量表与蛋白质偏好非常吻合。相反,当改变C-cap残基的身份时,我们发现几乎没有变化。与蛋白质中的情况相比,我们发现C帽没有甘氨酸。 Tyr和Trp的N上限和C上限结果均不准确,因为它们的芳族基团会影响CD光谱。此处提供的数据对于合理化蛋白质加帽位点的突变以及预测肽的螺旋含量具有价值。

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