Breakthroughs in computational design methods open up new frontiers for de novo protein engineering

被引:8
|
作者
Meinen, Ben A. [1 ,2 ,3 ]
Bahl, Christopher D. [1 ,2 ,3 ]
机构
[1] Harvard Inst Med, Inst Prot Innovat, 4 Blackfan Circle,Room 941, Boston, MA 02115 USA
[2] Boston Childrens Hosp, Div Hematol Oncol, Boston, MA 02115 USA
[3] Harvard Med Sch, Dept Pediat, Boston, MA 02115 USA
来源
PROTEIN ENGINEERING DESIGN & SELECTION | 2021年 / 34卷
关键词
protein design; Rosetta; protein engineering; protein structure; energy; function; STRUCTURE PREDICTION; ENERGY FUNCTION; PRINCIPLES; POTENT; MODEL;
D O I
10.1093/protein/gzab007
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Proteins catalyze the majority of chemical reactions in organisms, and harnessing this power has long been the focus of the protein engineering field. Computational protein design aims to create new proteins and functions in silico, and in doing so, accelerate the process, reduce costs and enable more sophisticated engineering goals to be accomplished. Challenges that very recently seemed impossible are now within reach thanks to several landmark advances in computational protein design methods. Here, we summarize these new methods, with a particular emphasis on de novo protein design advancements occurring within the past 5 years.
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页数:7
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