PrecursorFinder: a customized biosynthetic precursor explorer

Bioinformatics. 2019 May 1;35(9):1603-1604. doi: 10.1093/bioinformatics/bty838.

Abstract

Summary: Synthetic biology has a great potential to produce high value pharmaceuticals, commodities or bulk chemicals. However, many biosynthetic target molecules have no defined or predicted biosynthetic pathways. Biosynthetic precursors are crucial to create biosynthetic pathways. Thus computer-assisted tools for precursor identification are urgently needed to develop novel metabolic pathways. To this end, we present PrecursorFinder, a computational tool that explores biosynthetic precursors for the query target molecules using chemical structure, similarity as well as MCS (maximum common substructure). This platform comprises more than 60 000 compounds biosynthesized for being promising precursors, which are extracted from >500 000 scientific literatures and manually curated by more than 100 people over the past 8 years. The PrecursorFinder could speed up the process of biosynthesis research and make synthetic biology or metabolic engineering more efficient.

Availability and implementation: PrecursorFinder is available at: http://www.rxnfinder.org/precursorfinder/.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biosynthetic Pathways
  • Computational Biology
  • Metabolic Engineering
  • Metabolic Networks and Pathways
  • Software*
  • Synthetic Biology