Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle 98195, Washington, United States.
Department of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy 12180, New York, United States.
J Am Chem Soc. 2024 Sep 18;146(37):25501-25512. doi: 10.1021/jacs.4c04991. Epub 2024 Sep 4.
Energetically favorable local interactions can overcome the entropic cost of chain ordering and cause otherwise flexible polymers to adopt regularly repeating backbone conformations. A prominent example is the α helix present in many protein structures, which is stabilized by , + 4 hydrogen bonds between backbone peptide units. With the increased chemical diversity offered by unnatural amino acids and backbones, it has been possible to identify regularly repeating structures not present in proteins, but to date, there has been no systematic approach for identifying new polymers likely to have such structures despite their considerable potential for molecular engineering. Here we describe a systematic approach to search through dipeptide combinations of 130 chemically diverse amino acids to identify those predicted to populate unique low-energy states. We characterize ten newly identified dipeptide repeating structures using circular dichroism spectroscopy and comparison with calculated spectra. NMR and X-ray crystallographic structures of two of these dipeptide-repeat polymers are similar to the computational models. Our approach is readily generalizable to identify low-energy repeating structures for a wide variety of polymers, and our ordered dipeptide repeats provide new building blocks for molecular engineering.
在许多蛋白质结构中都存在着α螺旋,它是通过肽单位之间的 , + 4 氢键稳定的。通过使用非天然氨基酸和主链,增加了化学多样性,人们已经能够识别出在蛋白质中不存在的,但迄今为止,尽管它们在分子工程中有很大的潜力,却没有一种系统的方法来识别具有这种结构的新聚合物。在这里,我们描述了一种通过对 130 种化学性质不同的氨基酸的二肽组合进行系统搜索来识别那些可能处于独特低能态的二肽的方法。我们使用圆二色性光谱法和与计算光谱的比较来表征十种新发现的二肽重复结构。这两种二肽重复聚合物的 NMR 和 X 射线晶体结构与计算模型相似。我们的方法可以很容易地推广到识别各种聚合物的低能重复结构,我们有序的二肽重复结构为分子工程提供了新的构建块。