A Multi-Scale Computational Approach to Understanding Cancer Metabolism

Author:

Lucia Angelo,DiMaggio Peter A.

Publisher

Springer International Publishing

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2. Lucia, A., Thomas, E., DiMaggio, P.A.: On the explicit use of enzyme-substrate reactions in metabolic pathway analysis. In: Nicosia, G., Pardalos, P., Giuffrida, G., Umeton, R. (eds.) Machine Learning, Optimization, and Big Data. MOD 2017. Lecture Notes in Computer Science, vol. 10710 (2018). https://doi.org/10.1007/978-3-319-72926-8_8

3. Lucia, A., DiMaggio, P.A., Alonso-Martinez, D.: Metabolic pathway analysis using a Nash equilibrium approach. J Optim. 71(3), 537–550 (2018). https://doi.org/10.1007/s10898-018-0605-6

4. Yim, H., Haselbeck, R., Niu, W., Pujol-Baxley, C., Burgard, A., Boldt, J., Khandurina, J., Trawick, J.D., Osterhout, R.E., Stephen, R., Estadilla, J., Teisan, S., Schreyer, H.B., Andrae, S., Yang, T.H., Lee, S.Y., Burk, M.J., Van Dien, S.: Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol. Nat. Chem. Biol. 7, 445–52 (2011)

5. North, J.A., Miller, A.R., Wildenthal, J.A., Young, S.J., Tabita, R.F.: Microbial pathway for anaerobic 5′-methylthioadenosine metabolism coupled to ethylene formation. Proc. Natl. Acad. Sci. 114(48), E10455–E10464 (2017)

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