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RetSynth: determining all optimal and sub-optimal synthetic pathways that facilitate synthesis of target compounds in chassis organisms.

Leanne S WhitmoreBernard NguyenAli PinarAnthe GeorgeCorey M Hudson
Published in: BMC bioinformatics (2019)
The novel algorithm designed for RetSynth streamlines an arduous and complex process in metabolic engineering. Our stand-alone software allows the identification of candidate optimal and additional sub-optimal pathways, and provides the user with necessary ranking criteria such as target yield to decide which route to select for target production. Furthermore, the ability to incorporate non-biological reactions into the final steps allows determination of pathways to production for targets that cannot be solely produced biologically. With this comprehensive suite of features RetSynth exceeds any open-source software or webservice currently available for identifying optimal pathways for target production.
Keyphrases
  • machine learning
  • deep learning
  • bioinformatics analysis
  • tandem mass spectrometry