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个人简介
At MIT, Dr. Yang’s research focused on copper-catalyzed asymmetric hydrofunctionalization of simple olefins. In 2014, Dr. Yang spent a summer in the laboratory of Prof. Peng Liu at the University of Pittsburgh, where he explored computational tools to elucidate the mechanism of organic and organometallic reactions.
The Yang laboratory devises novel biocatalytic and protein engineering strategies to tackle challenging problems in synthetic organic chemistry.
In the first area, using directed evolution, we are leveraging enzymatic platforms to impose precise regio- and stereocontrol over challenging catalytic reactions. Using an interdisciplinary approach combining organic chemistry, organometallic chemistry, enzymology, and protein engineering, we expand the catalytic repertoire of enzymatic machineries well beyond nature’s biochemical landscape.
In the second area, we are developing concise chemoenzymatic syntheses of stereochemically complex natural products. Combining the power of organic synthesis and enzyme catalysis, we will simplify the assembly of biologically active natural products and their analogs and evaluate their antibiotic and anticancer activities.
In the third area, we are developing machine learning (ML)-guided directed evolution to accelerate the discovery and optimization of enzymatic functions that are not previously encountered in biology.
The Yang laboratory devises novel biocatalytic and protein engineering strategies to tackle challenging problems in synthetic organic chemistry.
In the first area, using directed evolution, we are leveraging enzymatic platforms to impose precise regio- and stereocontrol over challenging catalytic reactions. Using an interdisciplinary approach combining organic chemistry, organometallic chemistry, enzymology, and protein engineering, we expand the catalytic repertoire of enzymatic machineries well beyond nature’s biochemical landscape.
In the second area, we are developing concise chemoenzymatic syntheses of stereochemically complex natural products. Combining the power of organic synthesis and enzyme catalysis, we will simplify the assembly of biologically active natural products and their analogs and evaluate their antibiotic and anticancer activities.
In the third area, we are developing machine learning (ML)-guided directed evolution to accelerate the discovery and optimization of enzymatic functions that are not previously encountered in biology.
研究兴趣
论文共 844 篇作者统计合作学者相似作者
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Gesche Tallen,Yang Yang,Arthur Dantas, Daniel Udenwobele,Arash Nabbi,Charles Ricordel,Rémy Pedeux,Karl Riabowol,Olivier Binda
Elsevier eBookspp.217-238, (2024)
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Shuyun Ju, Dian Li,Binh Khanh Mai, Xin Liu,Alec Vallota-Eastman,Jianping Wu,David L Valentine,Peng Liu,Yang Yang
Nature chemistrypp.1-9, (2024)
Ying Han, Hangman Chen,Yongwen Sun,Jian Liu, Shaolou Wei, Bijun Xie,Zhiyu Zhang, Yingxin Zhu,Meng Li,Judith Yang,Wen Chen,Penghui Cao,
arxiv(2024)
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The Plant cell (2024)
Chemical Engineering Journalpp.150591, (2024)
EXPERT SYSTEMS WITH APPLICATIONSno. Part E (2024): 122115-122115
crossref(2024)
Yang Yang, Liu-Peng Zhao,Binh Khanh Mai, Lida Cheng, Fangqiu Gao,Yunlong Zhao, Rui Guo,Hao Wu,Yongda Zhang,Peng Liu
crossref(2024)
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