返回
Deep learning-powered enzyme efficiency boosting with evolutionary information
DOI:10.1016/j.scib.2024.03.034.png)
摘要
En
期刊
IF:
21.1
论文数:
5.1K
被引数:
2.2W
机构
引用论文
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolutionMECE: 一种基于深度神经网络和分子进化的提高糖苷水解酶催化效率的方法
SCIENCE BULLETIN
IF21.1
Machine-learning-guided directed evolution for protein engineering机器学习引导的蛋白质工程定向进化
NATURE METHODS
IF32.1
Computational redesign of cytochrome P450 CYP102A1 for highly stereoselective omeprazole hydroxylation by UniDesign通过undesign对细胞色素P450 CYP102A1进行高度立体选择性奥美拉唑羟基化的计算重新设计
Unified rational protein engineering with sequence-based deep representation learning基于序列的深度表示学习的统一理性蛋白质工程
NATURE METHODS
IF32.1

