Sysrecon: A systematic data-driven tool for genome-scale metabolic reconstructions

Abstract

AbstractGenome-scale metabolic reconstructions contain the information about metabolism, which understands organisms’ molecular mechanisms better. Different reconstruction procedures are developed to achieve high-quality GSMRs of organisms; however, the descriptions of procedures are vague, meaning that they cannot be qualitatively reproduced, even contradictory, and different published reconstructions may involve different steps. This indicates that there is no unified strategy to quantify the steps in GSMRs. To resolve the problem, we created a R package, Sysrecon, to quantitatively and qualitatively describe the steps of GSMRs in the literature. Sysrecon disassembles GSMR into 93 steps, which are compiled after the comprehensive textual analysis of metabolic reconstructions. Then, Sysrecon decomposes each step of the reconstruction procedure into three components: step content, step conversion, and database and tools. When building a GSMR, Sysrecon creates a template procedure that includes a list of pipeline steps, the description of the information conversion in the steps, and the database and tools that may be used to facilitate the conversion. Because each step’s conversion is defined by a formula, the entire GSMR can be dismantled into many ‘step’ blocks. The reconstruction procedure is therefore transformed into an adaptable automated assembly line that can be customized and tailored to settings of different organisms. To the best of our knowledge, Sysrecon is the first computational tool that dynamically constructs the GSMRs pipeline and provides a framework for defining reconstruction steps and can be used as a basis for the development of high-quality GSMRs.