Chubb Joel J, Albanese Katherine I, Rodger Alison, Woolfson Derek N
School of Chemistry, University of Bristol, Cantock's Close, Bristol BS8 1TS, U.K.
School of Natural Sciences, Macquarie University, Sydney, New South Wales 2019, Australia.
Biochemistry. 2025 May 6;64(9):1973-1982. doi: 10.1021/acs.biochem.4c00584. Epub 2025 Apr 14.
The de novo design of α-helical coiled-coil peptides is advanced. Using established sequence-to-structure relationships, it is possible to generate various coiled-coil assemblies with predictable numbers and orientations of helices. Here, we target new assemblies, namely, AB heterohexamer α-helical barrels. These designs are based on pairs of sequences with three heptad repeats (), programmed with = Leu, = Ile, = Ala, and = Ser, and = = Glu to make the acidic (A) chains and = = Lys in the basic (B) chains. These design rules ensure that the desired oligomeric state and stoichiometry are readily achieved. However, controlling the orientation of neighboring helices (parallel or antiparallel) is less straightforward. Surprisingly, we find that assembly and helix orientation are sensitive to the length of the overhang between helices. To study this, cyclically permutated peptide sequences with three heptad repeats (the register) in the peptide sequences were analyzed. Peptides starting at (-register) form a parallel 6-helix barrel in solution and in an X-ray crystal structure, whereas the - and -register peptides form an antiparallel complex. In lieu of experimental X-ray structures for - and -register peptides, AlphaFold-Multimer is used to predict atomistic models. However, considerably more sampling than the default value is required to match the models and the experimental data, as many confidently predicted and plausible models are generated with incorrect helix orientations. This work reveals the previously unknown influence of the heptad register on helical overhang and the orientation of α-helical coiled-coil peptides and provides insights for the modeling of oligopeptide coiled-coil complexes with AlphaFold.
α-螺旋卷曲螺旋肽的从头设计取得了进展。利用已确立的序列与结构关系,可以生成具有可预测螺旋数量和方向的各种卷曲螺旋组装体。在这里,我们针对新的组装体,即AB异源六聚体α-螺旋桶。这些设计基于具有三个七肽重复序列()的序列对,编程为 = 亮氨酸, = 异亮氨酸, = 丙氨酸, = 丝氨酸,且 = = 谷氨酸以形成酸性(A)链, = = 赖氨酸用于碱性(B)链。这些设计规则确保能够轻松实现所需的寡聚状态和化学计量比。然而,控制相邻螺旋的方向(平行或反平行)则不那么直接。令人惊讶的是,我们发现组装和螺旋方向对螺旋之间突出端的长度很敏感。为了研究这一点,分析了肽序列中具有三个七肽重复序列(寄存器)的循环置换肽序列。从 (-寄存器)开始的肽在溶液和X射线晶体结构中形成平行的6-螺旋桶,而 - 和 -寄存器肽形成反平行复合物。由于没有 - 和 -寄存器肽的实验X射线结构,因此使用AlphaFold-Multimer来预测原子模型。然而,要使模型与实验数据匹配,需要比默认值多得多的采样,因为会生成许多具有错误螺旋方向的可靠预测且合理的模型。这项工作揭示了七肽寄存器对螺旋突出端和α-螺旋卷曲螺旋肽方向的前所未知的影响,并为使用AlphaFold对寡肽卷曲螺旋复合物进行建模提供了见解。