UCLA Molecular Biology Institute, Los Angeles, CA 90095, USA.
UCLA Department of Chemistry and Biochemistry, Los Angeles, CA 90095, USA.
Protein Eng Des Sel. 2021 Feb 15;34. doi: 10.1093/protein/gzab008.
Theoretical and experimental advances in protein engineering have led to the creation of precisely defined, novel protein assemblies of great size and complexity, with diverse applications. One powerful approach involves designing a new attachment or binding interface between two simpler symmetric oligomeric protein components. The required methods of design, which present both similarities and key differences compared to problems in protein docking, remain challenging and are not yet routine. With the aim of more fully enabling this emerging area of protein material engineering, we developed a computer program, nanohedra, to introduce two key advances. First, we encoded in the program the construction rules (i.e. the search space parameters) that underlie all possible symmetric material constructions. Second, we developed algorithms for rapidly identifying favorable docking/interface arrangements based on tabulations of empirical patterns of known protein fragment-pair associations. As a result, the candidate poses that nanohedra generates for subsequent amino acid interface design appear highly native-like (at the protein backbone level), while simultaneously conforming to the exacting requirements for symmetry-based assembly. A retrospective computational analysis of successful vs failed experimental studies supports the expectation that this should improve the success rate for this challenging area of protein engineering.
蛋白质工程的理论和实验进展已经导致了具有多种应用的、非常大和复杂的精确定义的新型蛋白质组装体的产生。一种强大的方法涉及在两个更简单的对称寡聚蛋白质组件之间设计新的连接或结合界面。与蛋白质对接问题相比,所需的设计方法具有相似性和关键差异,仍然具有挑战性,而且尚未成为常规方法。为了更充分地实现这一新兴的蛋白质材料工程领域,我们开发了一个名为 nanohedra 的计算机程序,以引入两个关键的进展。首先,我们在程序中编码了所有可能的对称材料结构的构建规则(即搜索空间参数)。其次,我们开发了算法,用于根据已知蛋白质片段对关联的经验模式的表格快速识别有利的对接/界面排列。结果,nanohedra 为随后的氨基酸界面设计生成的候选构象在蛋白质骨架水平上表现出高度天然样(native-like),同时符合基于对称的组装的严格要求。对成功和失败的实验研究的回顾性计算分析支持这样的预期,即这应该提高蛋白质工程这一具有挑战性领域的成功率。