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

Please always quote using this URN: urn:nbn:de:bvb:20-opus-147396
  • 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 enzymeNew 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.show moreshow less

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Author: Martin Kaltdorf, Mugdha Srivastava, Shishir K. Gupta, Chunguang Liang, Jasmin Binder, Anna-Maria Dietl, Zohar Meir, Hubertus Haas, Nir Osherov, Sven Krappmann, Thomas Dandekar
URN:urn:nbn:de:bvb:20-opus-147396
Document Type:Journal article
Faculties:Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Language:English
Parent Title (English):Frontiers in Molecular Bioscience
Year of Completion:2016
Volume:3
Pagenumber:22
Source:Frontiers in Molecular Biosciences 3:22. doi: 10.3389/fmolb.2016.00022
DOI:https://doi.org/10.3389/fmolb.2016.00022
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Tag:antimycotics; fungicide; interaction; metabolism; modeling; structure; targets
Release Date:2017/05/17
Collections:Open-Access-Publikationsfonds / Förderzeitraum 2016
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung