Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models.
Saved in:
| Title: | Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. |
|---|---|
| Authors: | Heckmann D; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA. dheckmann@ucsd.edu., Lloyd CJ; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA., Mih N; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA., Ha Y; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA., Zielinski DC; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA., Haiman ZB; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA., Desouki AA; Institute for Computer Science and Department of Biology, Heinrich Heine University, 40225, Düsseldorf, Germany., Lercher MJ; Institute for Computer Science and Department of Biology, Heinrich Heine University, 40225, Düsseldorf, Germany., Palsson BO; Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA. palsson@ucsd.edu.; The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Lyngby, Denmark. palsson@ucsd.edu. |
| Source: | Nature communications [Nat Commun] 2018 Dec 07; Vol. 9 (1), pp. 5252. Date of Electronic Publication: 2018 Dec 07. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
