Author
Listed:
- Fang Zheng
(College of Pharmacy, University of Kentucky)
- Liu Xue
(College of Pharmacy, University of Kentucky)
- Shurong Hou
(College of Pharmacy, University of Kentucky)
- Junjun Liu
(College of Pharmacy, University of Kentucky)
- Max Zhan
(College of Pharmacy, University of Kentucky)
- Wenchao Yang
(College of Pharmacy, University of Kentucky)
- Chang-Guo Zhan
(College of Pharmacy, University of Kentucky)
Abstract
Compared with naturally occurring enzymes, computationally designed enzymes are usually much less efficient, with their catalytic activities being more than six orders of magnitude below the diffusion limit. Here we use a two-step computational design approach, combined with experimental work, to design a highly efficient cocaine hydrolysing enzyme. We engineer E30-6 from human butyrylcholinesterase (BChE), which is specific for cocaine hydrolysis, and obtain a much higher catalytic efficiency for cocaine conversion than for conversion of the natural BChE substrate, acetylcholine (ACh). The catalytic efficiency of E30-6 for cocaine hydrolysis is comparable to that of the most efficient known naturally occurring hydrolytic enzyme, acetylcholinesterase, the catalytic activity of which approaches the diffusion limit. We further show that E30-6 can protect mice from a subsequently administered lethal dose of cocaine, suggesting the enzyme may have therapeutic potential in the setting of cocaine detoxification or cocaine abuse.
Suggested Citation
Fang Zheng & Liu Xue & Shurong Hou & Junjun Liu & Max Zhan & Wenchao Yang & Chang-Guo Zhan, 2014.
"A highly efficient cocaine-detoxifying enzyme obtained by computational design,"
Nature Communications, Nature, vol. 5(1), pages 1-8, May.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4457
DOI: 10.1038/ncomms4457
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4457. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.