Heckmann, D., Lloyd, C. J., Mih, N., Ha, Y., Zielinski, D. C., Haiman, Z. B., . . . Palsson, B. O. (2018). Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature Portfolio.
Cita Chicago Style (17a ed.)Heckmann, David, Colton J. Lloyd, Nathan Mih, Yuanchi Ha, Daniel C. Zielinski, Zachary B. Haiman, Abdelmoneim Amer Desouki, Martin J. Lercher, y Bernhard O. Palsson. Machine Learning Applied to Enzyme Turnover Numbers Reveals Protein Structural Correlates and Improves Metabolic Models. Nature Portfolio, 2018.
Cita MLA (8a ed.)Heckmann, David, et al. Machine Learning Applied to Enzyme Turnover Numbers Reveals Protein Structural Correlates and Improves Metabolic Models. Nature Portfolio, 2018.