Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA; UC Berkeley - UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California, USA.
Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA; UC Berkeley - UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California, USA; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, California, USA.
J Biol Chem. 2021 Jan-Jun;296:100558. doi: 10.1016/j.jbc.2021.100558. Epub 2021 Mar 18.
The computational de novo protein design is increasingly applied to address a number of key challenges in biomedicine and biological engineering. Successes in expanding applications are driven by advances in design principles and methods over several decades. Here, we review recent innovations in major aspects of the de novo protein design and include how these advances were informed by principles of protein architecture and interactions derived from the wealth of structures in the Protein Data Bank. We describe developments in de novo generation of designable backbone structures, optimization of sequences, design scoring functions, and the design of the function. The advances not only highlight design goals reachable now but also point to the challenges and opportunities for the future of the field.
从头开始的计算蛋白质设计越来越多地应用于解决生物医学和生物工程中的一些关键挑战。几十年来,在设计原则和方法方面的进步推动了应用领域的扩展。在这里,我们回顾了从头开始的蛋白质设计的主要方面的最新创新,并包括这些进展如何从蛋白质数据库中丰富的结构中得出的蛋白质结构和相互作用的原理得到启示。我们描述了从头开始生成可设计的骨架结构、序列优化、设计评分函数以及功能设计方面的进展。这些进展不仅突出了现在可以达到的设计目标,还指出了该领域未来的挑战和机遇。