Aitao Li

Prof. Dr. Aitao Li


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 March 2018 in ACS Catalysis
Verified
Journal Article
Open access
CACarlos G. Acevedo-Rocha
Carlos G. Acevedo-Rocha
CGCharles G. Gamble
Charles G. Gamble
RLRichard Lonsdale
Richard Lonsdale
ALAitao Li
Aitao Li
NNNathalie Nett
Nathalie Nett
MRManfred T. Reetz
Manfred T. Reetz
Cytochrome P450 monooxygenases play a crucial role in the biosynthesis of many natural products and in the human metabolism of numerous pharmaceuticals. This has inspired synthetic organic and medicinal chemists to exploit them as catalysts in regio- and stereoselective CH-activating oxidation of structurally simple and complex organic compounds such as steroids. However, levels of regio- and stereoselectivity as well as activity are not routinely high enough for real applications. Protein engineering using rational design or directed evolution has helped in many respects, but simultaneous engineering of multiple catalytic traits such as activity, regioselectivity and stereoselectivity, while overcoming tradeoffs and diminishing returns, remains a challenge. Here we show that the exploitation of information derived from mutability landscapes and molecular dynamics simulations for rationally designing iterative saturation mutagenesis constitutes a viable directed evolution strategy. This combined approach is illustrated by the evolution of P450BM3 mutants which enable nearly perfect regio- and diastereoselective hydroxylation of five different steroids specifically at the C16-position with unusually high activity, while avoiding activity-selectivity tradeoffs as well as keeping the screening effort relatively low. The C16 alcohols are of practical interest as components of biologically active glucocorticoids.

3 April 2020 in Angewandte Chemie International Edition
Verified
Journal Article
Open access
PDF file
ALAitao Li
Aitao Li
CACarlos G. Acevedo-Rocha
Carlos G. Acevedo-Rocha
LDLorenzo D'Amore
Lorenzo D'Amore
JCJinfeng Chen
Jinfeng Chen
YPYaqin Peng
Yaqin Peng
MRManfred T. Reetz
Manfred T. Reetz
Steroidal C7β alcohols and their respective esters have shown significant promise as neuroprotective and anti‐inflammatory agents to treat chronic neuronal damage like stroke, brain trauma, and cerebral ischemia. Since C7 is spatially far away from any functional groups that could direct C−H activation, these transformations are not readily accessible using modern synthetic organic techniques. Reported here are P450‐BM3 mutants that catalyze the oxidative hydroxylation of six different steroids with pronounced C7 regioselectivities and β stereoselectivities, as well as high activities. These challenging transformations were achieved by a focused mutagenesis strategy and application of a novel technology for protein library construction based on DNA assembly and USER (Uracil‐Specific Excision Reagent) cloning. Upscaling reactions enabled the purification of the respective steroidal alcohols in moderate to excellent yields. The high‐resolution X‐ray structure and molecular dynamics simulations of the best mutant unveil the origin of regio‐ and stereoselectivity.

12 March 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
CACarlos G. Acevedo-Rocha
Carlos G. Acevedo-Rocha
ALAitao Li
Aitao Li
LDLorenzo D’amore
Lorenzo D’amore
SHSabrina Hoebenreich
Sabrina Hoebenreich
JMJoaquin Sanchis Martinez
Joaquin Sanchis Martinez
MRManfred T. Reetz
Manfred T. Reetz
Multidimensional fitness landscapes provide insights into the molecular basis of laboratory and natural evolution. To date, such efforts usually focus on limited protein families and a single enzyme trait, with little concern about the relationship between protein epistasis and conformational dynamics. Here, we report a multiparametric fitness landscape for a cytochrome P450 monooxygenase that was engineered for the regio- and stereoselective hydroxylation of a steroid. We develop a computational program to automatically quantify non-additive effects among all possible mutational pathways, finding pervasive cooperative signs and magnitude epistasis on multiple catalytic traits. By using quantum mechanics and molecular dynamics simulations, we show that these effects are modulated by long-range interactions in loops, helices and β-strands that gate the substrate access channel allowing for optimal catalysis. Our work highlights the importance of conformational dynamics on epistasis in an enzyme involved in secondary metabolism and offers insights for engineering P450s.

1 April 2021 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
FWFei Wang
Fei Wang
JYJun Yang
Jun Yang
RHRuyi He
Ruyi He
XYXiao Yu
Xiao Yu
SCShuliang Chen
Shuliang Chen
LMLixin Ma
Lixin Ma

7 January 2020 in Bioresources and Bioprocessing
Verified
Journal Article
Open access
PDF file
XZXiaodong Zhang
Xiaodong Zhang
YPYaqin Peng
Yaqin Peng
JZJing Zhao
Jing Zhao
QLQian Li
Qian Li
XYXiaojuan Yu
Xiaojuan Yu
ALAitao Li
Aitao Li
Steroids are the most widely marketed products by the pharmaceutical industry after antibiotics. Steroid hydroxylation is one of the most important functionalizations because their derivatives enable a higher biological activity compared to their less polar non-hydroxylated analogs. Bacterial cytochrome P450s constitute promising biocatalysts for steroid hydroxylation due to their high expression level in common workhorses like Escherichia coli. However, they often suffer from wrong or insufficient regio- and/or stereoselectivity, low activity, narrow substrate range as well as insufficient thermostability, which hampers their industrial application. Fortunately, these problems can be generally solved by protein engineering based on directed evolution and rational design. In this work, an overview of recent developments on the engineering of bacterial cytochrome P450s for steroid hydroxylation is presented.

25 September 2017 in ACS Catalysis
Verified
Journal Article
Closed access
GZGao-Wei Zheng
Gao-Wei Zheng
YLYuan-Yang Liu
Yuan-Yang Liu
QCQi Chen
Qi Chen
LHLei Huang
Lei Huang
HYHui-Lei Yu
Hui-Lei Yu
JXJian-He Xu
Jian-He Xu