Improving the organization and interactivity of metabolic pathfinding with precomputed pathways.

ABSTRACT: BACKGROUND:The rapid growth of available knowledge on metabolic processes across thousands of species continues to expand the possibilities of producing chemicals by combining pathways found in different species. Several computational search algorithms have been developed for automating the identification of possible heterologous pathways; however, these searches may return thousands of pathway results. Although the large number of results are in part due to the large number of possible compounds and reactions, a subset of core reaction modules is repeatedly observed in pathway results across multiple searches, suggesting that some subpaths between common compounds were more consistently explored than others.To reduce the resources spent on searching the same metabolic space, a new meta-al

SUBMITTER: Kim SM 

PROVIDER: S-EPMC6954563 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature