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作 者:Jinyuan Sun Wenyu Shi Zhihui Xing Guomei Fan Qinglan Sun Linhuan Wu Juncai Ma Yinglu Cui Bian Wu
机构地区:[1]AIM Center,College of Life Sciences and Technology,Beijing University of Chemical Technology,Institute of Microbiology,Chinese Academy of Sciences,Beijing,China [2]University of Chinese Academy of Sciences,Beijing,China [3]State Key Laboratory of Animal Biotech Breeding,College of Biological Sciences,China Agricultural University,Beijing,China [4]Microbial Resource and Big Data Center,Institute of Microbiology,Chinese Academy of Sciences,Beijing,China [5]Chinese National Microbiology Data Center(NMDC),Beijing,China
出 处:《mLife》2024年第4期527-531,共5页微生物(英文)
基 金:supported by the National Key R&D Program of China(grant no.2021YFC2103600);the National Natural Science Foundation of China(31822002,32170033,and 32422001);the Key Research Program of Frontier Sciences(ZDBS‐LY‐SM014);the Biological Resources Program(KFJBRP‐009 and KFJ‐BRP‐017‐58)from the Chinese Academy of Sciences,the Informatization Plan of Chinese Academy of Sciences(CAS‐WX2021SF‐0111);the Youth Innovation Promotion Association CAS(2022086).
摘 要:Impact statement We have developed the GReedy Accumulated strategy for Protein Engineering(GRAPE)to improve enzyme stability across various applications,combining advanced computational methods with a unique clustering and greedy accumulation approach to efficiently explore epistatic effects with minimal experimental effort.To make this strategy accessible to nonexperts,we introduced GRAPE‐WEB,an automated,user‐friendly web server that allows the design,inspection,and combination of stabilizing mutations without requiring extensive bioinformatics knowledge.
关 键 词:explore epistatic effects protein engineering greedy accumulated strategy improve enzyme stability combination stabilizing mutations protein thermostability protein engineering grape advanced computational methods
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