Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach.

ABSTRACT: New antimycotic drugs are challenging to find, as potential target proteins may have close human orthologs. We here focus on identifying metabolic targets that are critical for fungal growth and have minimal similarity to targets among human proteins. We compare and combine here: (I) direct metabolic network modeling using elementary mode analysis and flux estimates approximations using expression data, (II) targeting metabolic genes by transcriptome analysis of condition-specific highly expressed enzymes, and (III) analysis of enzyme structure, enzyme interconnectedness ("hubs"), and identification of pathogen-specific enzymes using orthology relations. We have identified 64 targets including metabolic enzymes involved in vitamin synthesis, lipid, and amino acid biosynthesis including 18

SUBMITTER: Kaltdorf M 

PROVIDER: S-EPMC4911368 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature