Spouge J L, Guy H R, Cornette J L, Margalit H, Cease K, Berzofsky J A, DeLisi C
J Immunol. 1987 Jan 1;138(1):204-12.
The ability to predict T cell antigenic peptides would have important implications for the development of artificial vaccines. As a first step towards prediction, this report uses a new statistical technique to discover and evaluate peptide properties correlating with T cell antigenicity. This technique employs Monte Carlo computer experiments and is applicable to many problems involving protein or DNA. The technique is used to evaluate the contribution of various peptide properties to helper T cell antigenicity. The properties investigated include amphipathicities (alpha and beta), conformational propensities (alpha, beta, turn and coil), and the correlates of alpha-helices, such as the absence of helix-breakers and the positioning of the residues which stabilize alpha-helical dipoles. We also investigate segmental amphipathicity. (A peptide has this property when it contains at least two disjoint subpeptides, one hydrophobic, one hydrophilic.) Statistical correlations and stratifications assessed independent contributions to T cell antigenicity. The findings presented here have important implications for the manufacture of peptide vaccines. These implications are as follows: if possible, peptide vaccines should probably be those protein segments which have a propensity to form amphipathic alpha-helices, which do not have regions with a propensity to coil conformations, and which have a lysine at their COOH-terminus. The last two observations are of particular use in manufacturing peptides vaccines: they indicate where the synthetic peptides should be terminated. These implications are supported by the findings given below. The significances (p values) support the following statistical generalites about antigenic conformations: most helper T cell antigenic sites are amphipathic alpha-helices; alpha-helical amphipathicity and propensity to an alpha-helical conformation contribute independently to T cell antigenicity; there is evidence that some T cell antigenic sites are beta conformations instead of alpha-helices; T cell antigenic sites avoid random coiled conformations; and T cell antigenic sites are usually not segmentally amphipathic. alpha-Helical amphipathicity was significant, but segmental amphipathicity was not. This has implications for the dimensions of the structure interacting with the hydrophobic portion of an amphipathic T cell antigenic site. Lysines are unusually frequent at the COOH-terminal of T cell antigenic sites, even after accounting for tryptic digests. These lysines can stabilize alpha-helical peptides by a favorable interaction with alpha-helical dipoles.(ABSTRACT TRUNCATED AT 400 WORDS)
预测T细胞抗原肽的能力对人工疫苗的研发具有重要意义。作为预测的第一步,本报告采用一种新的统计技术来发现和评估与T细胞抗原性相关的肽特性。该技术采用蒙特卡罗计算机实验,适用于许多涉及蛋白质或DNA的问题。该技术用于评估各种肽特性对辅助性T细胞抗原性的贡献。所研究的特性包括两亲性(α和β)、构象倾向(α、β、转角和卷曲)以及α螺旋的相关因素,如无螺旋破坏者和稳定α螺旋偶极的残基的定位。我们还研究了片段两亲性。(当一个肽包含至少两个不连续的亚肽,一个疏水,一个亲水时,该肽具有此特性。)统计相关性和分层评估了对T细胞抗原性的独立贡献。这里提出的发现对肽疫苗的制造具有重要意义。这些意义如下:如果可能的话,肽疫苗可能应该是那些倾向于形成两亲性α螺旋、没有倾向于卷曲构象区域且在其COOH末端有赖氨酸的蛋白质片段。最后两个观察结果在制造肽疫苗时特别有用:它们指出了合成肽应该终止的位置。这些意义得到了以下发现的支持。显著性(p值)支持关于抗原构象的以下统计概括:大多数辅助性T细胞抗原位点是两亲性α螺旋;α螺旋两亲性和α螺旋构象倾向对T细胞抗原性有独立贡献;有证据表明一些T细胞抗原位点是β构象而非α螺旋;T细胞抗原位点避免随机卷曲构象;并且T细胞抗原位点通常不是片段两亲性的。α螺旋两亲性是显著的,但片段两亲性不是。这对与两亲性T细胞抗原位点疏水部分相互作用的结构尺寸有影响。即使考虑了胰蛋白酶消化,赖氨酸在T细胞抗原位点的COOH末端也异常频繁。这些赖氨酸可以通过与α螺旋偶极的有利相互作用来稳定α螺旋肽。(摘要截断于400字)