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通过计算蛋白质设计中改善堆积时的能量景观来进行干扰。

Perturbing the energy landscape for improved packing during computational protein design.

机构信息

Program in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Department of Biochemistry, University of Washington, Seattle, Washington, USA.

出版信息

Proteins. 2021 Apr;89(4):436-449. doi: 10.1002/prot.26030. Epub 2020 Dec 11.

Abstract

The FastDesign protocol in the molecular modeling program Rosetta iterates between sequence optimization and structure refinement to stabilize de novo designed protein structures and complexes. FastDesign has been used previously to design novel protein folds and assemblies with important applications in research and medicine. To promote sampling of alternative conformations and sequences, FastDesign includes stages where the energy landscape is smoothened by reducing repulsive forces. Here, we discover that this process disfavors larger amino acids in the protein core because the protein compresses in the early stages of refinement. By testing alternative ramping strategies for the repulsive weight, we arrive at a scheme that produces lower energy designs with more native-like sequence composition in the protein core. We further validate the protocol by designing and experimentally characterizing over 4000 proteins and show that the new protocol produces higher stability proteins.

摘要

分子建模程序 Rosetta 中的 FastDesign 协议在序列优化和结构细化之间反复迭代,以稳定从头设计的蛋白质结构和复合物。FastDesign 以前曾被用于设计具有重要研究和医学应用的新型蛋白质折叠体和组装体。为了促进替代构象和序列的采样,FastDesign 包括通过减少排斥力使能量景观平滑化的阶段。在这里,我们发现该过程不利于蛋白质核心中的较大氨基酸,因为在细化的早期阶段蛋白质会压缩。通过测试用于排斥权重的替代斜坡策略,我们得出了一种方案,该方案可产生能量更低、蛋白质核心中具有更多天然序列组成的设计。我们通过设计和实验表征超过 4000 种蛋白质进一步验证了该方案,并表明新方案可产生更稳定的蛋白质。

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