Apgar James R, Gutwin Karl N, Keating Amy E
MIT Department of Chemistry, Cambridge, Massachusetts 02139, USA.
Proteins. 2008 Aug 15;72(3):1048-65. doi: 10.1002/prot.22118.
The alpha-helical coiled coil is a structurally simple protein oligomerization or interaction motif consisting of two or more alpha helices twisted into a supercoiled bundle. Coiled coils can differ in their stoichiometry, helix orientation, and axial alignment. Because of the near degeneracy of many of these variants, coiled coils pose a challenge to fold recognition methods for structure prediction. Whereas distinctions between some protein folds can be discriminated on the basis of hydrophobic/polar patterning or secondary structure propensities, the sequence differences that encode important details of coiled-coil structure can be subtle. This is emblematic of a larger problem in the field of protein structure and interaction prediction: that of establishing specificity between closely similar structures. We tested the behavior of different computational models on the problem of recognizing the correct orientation--parallel vs. antiparallel--of pairs of alpha helices that can form a dimeric coiled coil. For each of 131 examples of known structure, we constructed a large number of both parallel and antiparallel structural models and used these to assess the ability of five energy functions to recognize the correct fold. We also developed and tested three sequence-based approaches that make use of varying degrees of implicit structural information. The best structural methods performed similarly to the best sequence methods, correctly categorizing approximately 81% of dimers. Steric compatibility with the fold was important for some coiled coils we investigated. For many examples, the correct orientation was determined by smaller energy differences between parallel and antiparallel structures distributed over many residues and energy components. Prediction methods that used structure but incorporated varying approximations and assumptions showed quite different behaviors when used to investigate energetic contributions to orientation preference. Sequence based methods were sensitive to the choice of residue-pair interactions scored.
α-螺旋卷曲螺旋是一种结构简单的蛋白质寡聚化或相互作用基序,由两条或更多条α螺旋扭曲成超螺旋束组成。卷曲螺旋在化学计量、螺旋取向和轴向排列方面可能有所不同。由于许多这些变体几乎具有简并性,卷曲螺旋对用于结构预测的折叠识别方法构成了挑战。虽然一些蛋白质折叠之间的区别可以基于疏水/极性模式或二级结构倾向来区分,但编码卷曲螺旋结构重要细节的序列差异可能很细微。这体现了蛋白质结构和相互作用预测领域中一个更大的问题:即在非常相似的结构之间建立特异性。我们测试了不同计算模型在识别能够形成二聚体卷曲螺旋的α螺旋对的正确取向(平行与反平行)问题上的行为。对于131个已知结构的例子中的每一个,我们构建了大量平行和反平行的结构模型,并使用这些模型来评估五种能量函数识别正确折叠的能力。我们还开发并测试了三种基于序列的方法,这些方法利用了不同程度的隐含结构信息。最好的结构方法与最好的序列方法表现相似,正确分类了大约81%的二聚体。对于我们研究的一些卷曲螺旋来说,与折叠的空间兼容性很重要。对于许多例子,正确的取向是由分布在许多残基和能量成分上的平行和反平行结构之间较小的能量差异决定的。使用结构但包含不同近似和假设的预测方法在用于研究对取向偏好的能量贡献时表现出非常不同的行为。基于序列的方法对所评分的残基对相互作用的选择很敏感。