@article{FedericoRedentiSturleseetal.2015,
  author    = {Federico, Stephanie and Redenti, Sara and Sturlese, Mattia and Ciancetta, Antonella and Kachler, Sonja and Klotz, Karl-Norbert and Cacciari, Barbara and Moro, Stefano and Spalluto, Giampiero},
  title     = {The Influence of the 1-(3-Trifluoromethyl-Benzyl)-1H-Pyrazole-4-yl Moiety on the Adenosine Receptors Affinity Profile of Pyrazolo[4,3-e][1,2,4]Triazolo[1,5-c]Pyrimidine Derivatives},
  series = {PLoS One},
  volume    = {10},
  journal   = {PLoS One},
  number    = {12},
  doi       = {10.1371/journal.pone.0143504},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-137133},
  pages     = {e0143504},
  year      = {2015},
  abstract  = {A new series of pyrazolo[4,3-e][1,2,4]triazolo[1,5-c]pyrimidine (PTP) derivatives has been developed in order to explore their affinity and selectivity profile at the four adenosine receptor subtypes. In particular, the PTP scaffold was conjugated at the C2 position with the 1-(3-trifluoromethyl-benzyl)-1H-pyrazole, a group believed to confer potency and selectivity toward the human (h) A\(_{2B}\) adenosine receptor (AR) to the xanthine ligand 8-(1-(3-(trifluoromethyl) benzyl)-1H-pyrazol-4-yl)-1,3-dimethyl-1H-purine-2,6(3H, 7H)-dione (CVT 6975). Interestingly, the synthesized compounds turned out to be inactive at the hA\(_{2B}\) AR but they displayed affinity at the hA\(_3\) AR in the nanomolar range. The best compound of the series (6) shows both high affinity (hA\(_3\) AR K\(_i\) = 11 nM) and selectivity (A\(_1\)/A\(_3\) and A\(_{2A}\)/A\(_3\) > 9090; A\(_{2B}\)/A\(_3\) > 909) at the hA\(_3\) AR. To better rationalize these results, a molecular docking study on the four AR subtypes was performed for all the synthesized compounds. In addition, CTV 6975 and two close analogues have been subjected to the same molecular docking protocol to investigate the role of the 1-(3-trifluoromethyl-benzyl)-1H-pyrazole on the binding at the four ARs.},
  language  = {en}
}
@article{KaltdorfSrivastavaGuptaetal.2016,
  author    = {Kaltdorf, Martin and Srivastava, Mugdha and Gupta, Shishir K. and Liang, Chunguang and Binder, Jasmin and Dietl, Anna-Maria and Meir, Zohar and Haas, Hubertus and Osherov, Nir and Krappmann, Sven and Dandekar, Thomas},
  title     = {Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach},
  series = {Frontiers in Molecular Bioscience},
  volume    = {3},
  journal   = {Frontiers in Molecular Bioscience},
  doi       = {10.3389/fmolb.2016.00022},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-147396},
  pages     = {22},
  year      = {2016},
  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 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.},
  language  = {en}
}