Abstract
Pathway discovery is a prospective task that is part of the metabolic pathway design workflow. Using the tools that were described in previous chapters to model metabolic networks and chemical diversity, we can now start exploring the metabolic space for routes leading to the production of promising targets. Chemical targets of interest can be identified by performing techno-economic and life cycle analyses. A bioretrosynthesis analysis assesses the existence and feasibility of biosynthetic pathways connecting the target to the chassis. Generalized reaction rules in the bioretrosynthesis analysis can be applied in order to predict de novo or hypothetical routes based on enzyme promiscuity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
Verified at 7 https://www.aldrichmarketselect.com/
- 6.
LCA is one of the requirements in the International standard ISO 14001:2015
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
- 15.
- 16.
References
Delépine, B., Duigou, T., Carbonell, P., Faulon, J.L.: RetroPath2.0: a retrosynthesis workflow for metabolic engineers. Metab. Eng. 45, 158–170 (2018). https://doi.org/10.1016/j.ymben.2017.12.002
Duigou, T., du Lac, M., Carbonell, P., Faulon, J.L.: RetroRules: a database of reaction rules for engineering biology. Nucl. Acids Res. (2018). https://doi.org/10.1093/nar/gky940
Feng, F., Lai, L., Pei, J.: Computational chemical synthesis analysis and pathway design. Front. Chem. 6, 199 (2018). https://doi.org/10.3389/fchem.2018.00199
Fillbrunn, A., Dietz, C., Pfeuffer, J., Rahn, R., Landrum, G.A., Berthold, M.R.: KNIME for reproducible cross-domain analysis of life science data. J. Biotechnol. (2017). https://doi.org/10.1016/j.jbiotec.2017.07.028
Hastings, J., Owen, G., Dekker, A., Ennis, M., Kale, N., Muthukrishnan, V., Turner, S., Swainston, N., Mendes, P., Steinbeck, C.: ChEBI in 2016: improved services and an expanding collection of metabolites. Nucl. Acids Res. 44(D1), D1214–D1219 (2016). https://doi.org/10.1093/nar/gkv1031
Lipinski, C.A.: Lead- and drug-like compounds: the rule-of-five revolution. Drug Discov. Today Technol. 1(4), 337–341 (2004). https://doi.org/10.1016/J.DDTEC.2004.11.007; https://www.sciencedirect.com/science/article/pii/S1740674904000551?via%3Dihub
Notebaart, R.A., Kintses, B., Feist, A.M., Papp, B.: Underground metabolism: network-level perspective and biotechnological potential. Curr. Opin. Biotechnol. 49, 108–114 (2017)
Orth, J.D., Conrad, T.M., Na, J., Lerman, J.A., Nam, H., Feist, A.M., Palsson, B.O.: A comprehensive genome-scale reconstruction of Escherichia coli metabolism-2011. Mol. Syst. Biol. 7, 53 (2011). https://doi.org/10.1038/msb.2011.65
Further Reading
A framework for chemical target selection:
Campodonico, M.A., Sukumara, S., Feist, A.M., Herrgård, M.J.: Computational methods to assess the production potential of bio-based chemicals. In: Methods in molecular biology (Clifton, NJ), vol. 1671, pp. 97–116 (2018)
A more generic discussion about economic considerations for bioprocess commercialization:
Wynn, J.P., Hanchar, R., Kleff, S., Senyk, D., Tiedje, T.: Biobased technology commercialization: the importance of lab to pilot scale-up. In: Metabolic Engineering for Bioprocess Commercialization, pp. 101–119. Springer International Publishing, Cham (2016)
A discussion about biocatalytic retrosynthesis:
Green, A.P., Turner, N.J.: Biocatalytic retrosynthesis: redesigning synthetic routes to high-value chemicals. Perspect. Sci. 9, 42–48 (2016). https://doi.org/10.1016/j.pisc.2016.04.106
A review about pathway design tools:
Wang, L., Dash, S., Ng, C.Y., Maranas, C.D.: A review of computational tools for design and reconstruction of metabolic pathways. Synth. Syst. Biol. 2(4), 243–252 (2017)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Carbonell, P. (2019). Pathway Discovery. In: Metabolic Pathway Design. Learning Materials in Biosciences. Springer, Cham. https://doi.org/10.1007/978-3-030-29865-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-29865-4_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29864-7
Online ISBN: 978-3-030-29865-4
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)