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@ARTICLE{Mulnaes:902472,
      author       = {Mulnaes, Daniel and Schott, Stephan and Koenig, Filip and
                      Gohlke, Holger},
      title        = {{T}op{P}roperty: {R}obust {M}etaprediction of
                      {T}ransmembrane and {G}lobular {P}rotein {F}eatures {U}sing
                      {D}eep {N}eural {N}etworks},
      journal      = {Journal of chemical theory and computation},
      volume       = {17},
      number       = {11},
      issn         = {1549-9618},
      address      = {Washington, DC},
      reportid     = {FZJ-2021-04291},
      pages        = {7281 - 7289},
      year         = {2021},
      abstract     = {Transmembrane proteins (TMPs) are critical components of
                      cellular life. However, due to experimental challenges, the
                      number of experimentally resolved TMP structures is severely
                      underrepresented in databases compared to their cellular
                      abundance. Prediction of (per-residue) features such as
                      transmembrane topology, membrane exposure, secondary
                      structure, and solvent accessibility can be a useful
                      starting point for experimental design or protein structure
                      prediction but often requires different computational tools
                      for different features or types of proteins. We present
                      TopProperty, a metapredictor that predicts all of these
                      features for TMPs or globular proteins. TopProperty is
                      trained on datasets without bias toward a high number of
                      sequence homologs, and the predictions are significantly
                      better than the evaluated state-of-the-art primary
                      predictors on all quality metrics. TopProperty eliminates
                      the need for protein type- or feature-tailored tools,
                      specifically for TMPs. TopProperty is freely available as a
                      web server and standalone at
                      https://cpclab.uni-duesseldorf.de/topsuite/.},
      cin          = {IBG-4 / JSC / NIC / IBI-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IBG-4-20200403 / I:(DE-Juel1)JSC-20090406 /
                      I:(DE-Juel1)NIC-20090406 / I:(DE-Juel1)IBI-7-20200312},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217) / 2172 - Utilization of renewable
                      carbon and energy sources and engineering of ecosystem
                      functions (POF4-217) / 5111 - Domain-Specific Simulation
                      Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) /
                      Forschergruppe Gohlke $(hkf7_20200501)$ / DFG project
                      267205415 - SFB 1208: Identität und Dynamik von
                      Membransystemen - von Molekülen bis zu zellulären
                      Funktionen},
      pid          = {G:(DE-HGF)POF4-2171 / G:(DE-HGF)POF4-2172 /
                      G:(DE-HGF)POF4-5111 / $G:(DE-Juel1)hkf7_20200501$ /
                      G:(GEPRIS)267205415},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34663069},
      UT           = {WOS:000718183600049},
      doi          = {10.1021/acs.jctc.1c00685},
      url          = {https://juser.fz-juelich.de/record/902472},
}