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@ARTICLE{Papadopoulos:644619,
      author       = {Papadopoulos, Athanasios and Anlauf, Manuel T. and Reiners,
                      Jens and Paik, Seung-Hyun and Krüger, Aileen and Lückel,
                      Benita and Bott, Michael and Drepper, Thomas and Frunzke,
                      Julia and Gohlke, Holger and Weidtkamp-Peters, Stefanie and
                      Smits, Sander H. J. and Gertzen, Christoph G. W.},
      title        = {{A} {N}ovel {B}iosensor for {F}errous {I}ron {D}eveloped
                      via {C}o{B}i{S}e: {A} {C}omputational {M}ethod for {R}apid
                      {B}iosensor {D}esign},
      journal      = {ACS sensors},
      volume       = {11},
      number       = {1},
      issn         = {2379-3694},
      address      = {Washington, DC},
      publisher    = {ACS Publications},
      reportid     = {PUBDB-2026-00452},
      pages        = {119 - 135},
      year         = {2026},
      abstract     = {Genetically encoded biosensors enable the monitoring of
                      metabolite dynamics in living organisms. We present CoBiSe,
                      a computational biosensor design approach using Constraint
                      Network Analysis to identify optimal insertion sites for
                      reporter modules in molecular recognition elements (MREs).
                      Applied to the iron-binding protein DtxR from
                      Corynebacterium glutamicum, CoBiSe identified a flexible
                      connective loop (residues 138–150) for inserting the
                      reporter module, resulting in IronSenseR, a novel
                      ratiometric biosensor for ferrous iron (Fe2+). IronSenseR
                      demonstrates high specificity for Fe2+ with dissociation
                      constants of 1.78 ± 0.03 (FeSO4) and 2.90 ± 0.12 μM
                      (FeCl2), while showing no binding to Fe3+ and other divalent
                      cations. In vivo assessment in Escherichia coli, Pseudomonas
                      putida, and Corynebacterium glutamicum confirmed
                      IronSenseR’s capability to detect changes in the
                      intracellular iron pool. The creation of IronSenseR
                      underlines that by reducing search space and eliminating
                      labor-intensive screening, CoBiSe streamlines biosensor
                      development and enables precise creation of next-generation
                      biosensors for diverse metabolites.},
      cin          = {EMBL-User},
      ddc          = {570},
      cid          = {I:(DE-H253)EMBL-User-20120814},
      pnm          = {6G3 - PETRA III (DESY) (POF4-6G3) / SFB 1535 Z05 - Zentrale
                      Koordination des SFB MibiNet (Z05) (515892696) / DFG project
                      458090666 - SFB 1535: Mikrobielle Netzwerke – von
                      Organellen bis hin zu Reich-übergreifenden
                      Lebensgemeinschaften (458090666)},
      pid          = {G:(DE-HGF)POF4-6G3 / G:(GEPRIS)515892696 /
                      G:(GEPRIS)458090666},
      experiment   = {EXP:(DE-H253)P-P12-20150101},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1021/acssensors.5c02481},
      url          = {https://bib-pubdb1.desy.de/record/644619},
}