TY - JOUR A1 - Kaltdorf, Martin A1 - Srivastava, Mugdha A1 - Gupta, Shishir K. A1 - Liang, Chunguang A1 - Binder, Jasmin A1 - Dietl, Anna-Maria A1 - Meir, Zohar A1 - Haas, Hubertus A1 - Osherov, Nir A1 - Krappmann, Sven A1 - Dandekar, Thomas T1 - Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach JF - Frontiers in Molecular Bioscience N2 - 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 targets validated from the literature, two validated and five currently examined in own genetic experiments, and 38 further promising novel target proteins which are non-orthologous to human proteins, involved in metabolism and are highly ranked drug targets from these pipelines. KW - metabolism KW - targets KW - antimycotics KW - modeling KW - structure KW - interaction KW - fungicide Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-147396 VL - 3 ER -