{
  "URL": [
    {
      "Conda": "https://anaconda.org/Bio2Byte/b2bTools",
      "BioConda": "https://bioconda.github.io/recipes/b2btools/README.html",
      "Homepage": "https://bio2byte.be",
      "REST API": "https://bio2byte.be/b2btools/package-documentation",
      "Repository": "http://bitbucket.org/bio2byte/b2btools",
      "PyPI (Python Package Index)": "https://pypi.org/project/b2bTools/"
    }
  ],
  "mode": "Single Sequence",
  "email": [
    "bio2byte@vub.be"
  ],
  "title": "Prediction results of B2BTools package",
  "tools": {
    "agmata": {
      "URL": [
        "https://bio2byte.be/b2btools/agmata/"
      ],
      "publications": [
        {
          "year": 2020,
          "title": "Accurate prediction of protein beta-aggregation with generalized statistical potentials",
          "authors": "Gabriele Orlando, Alexandra Silva, Sandra Macedo-Ribeiro, Daniele Raimondi, Wim Vranken",
          "journal": "Bioinformatics",
          "identifier": "https://doi.org/10.1093/bioinformatics/btz912",
          "identifierType": "DOI"
        }
      ],
      "predictorName": "AgMata"
    },
    "disomine": {
      "URL": [
        "https://bio2byte.be/b2btools/disomine/"
      ],
      "publications": [
        {
          "year": 2022,
          "title": "Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein Dynamics",
          "authors": "Gabriele Orlando, Daniele Raimondi, Francesco Codic\u00e8, Francesco Tabaro, Wim Vranken",
          "journal": "Journal of Molecular Biology",
          "identifier": "https://doi.org/10.1016/j.jmb.2022.167579",
          "identifierType": "DOI"
        }
      ],
      "predictorName": "DisoMine"
    },
    "dynamine": {
      "URL": [
        "https://bio2byte.be/b2btools/dynamine/"
      ],
      "publications": [
        {
          "year": 2013,
          "title": "From protein sequence to dynamics and disorder with DynaMine",
          "authors": "Elisa Cilia, Rita Pancsa, Peter Tompa, Tom Lenaerts, Wim Vranken",
          "journal": "Nature Communications",
          "identifier": "https://doi.org/10.1038/ncomms3741",
          "identifierType": "DOI"
        },
        {
          "year": 2014,
          "title": "The DynaMine webserver: predicting protein dynamics from sequence",
          "authors": "Elisa Cilia, Rita Pancsa, Peter Tompa, Tom Lenaerts, Wim Vranken",
          "journal": "Nucleic Acids Research",
          "identifier": "https://doi.org/10.1093/nar/gku270",
          "identifierType": "DOI"
        }
      ],
      "predictorName": "DynaMine"
    },
    "efoldmine": {
      "URL": [
        "https://bio2byte.be/b2btools/efoldmine/"
      ],
      "publications": [
        {
          "year": 2017,
          "title": "Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins",
          "authors": "Daniele Raimondi, Gabriele Orlando, Rita Pancsa, Taushif Khan, Wim Vranken",
          "journal": "Scientific Reports",
          "identifier": "https://doi.org/10.1093/bioinformatics/btz912",
          "identifierType": "DOI"
        }
      ],
      "predictorName": "EFoldMine"
    }
  },
  "license": "GNU General Public License v3 (GPLv3)",
  "package": {
    "URL": "https://pypi.org/project/b2bTools/3.0.8b3/",
    "name": "b2bTools",
    "version": "3.0.8b3",
    "releaseDate": "2025-04-08"
  },
  "copyright": "Wim Vranken, Bio2Byte group, Vrije Universiteit Brussel (VUB), Belgium",
  "containers": [
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_pypi_py3.7",
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    },
    {
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      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_pypi_py3.8",
      "description": "b2bTools v3.0.8b3 for Python v3.8 using PyPI to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_pypi_py3.9",
      "description": "b2bTools v3.0.8b3 for Python v3.9 using PyPI to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
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    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_pypi_py3.11",
      "description": "b2bTools v3.0.8b3 for Python v3.11 using PyPI to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_conda_py3.7",
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    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_conda_py3.8",
      "description": "b2bTools v3.0.8b3 for Python v3.8 using MiniConda3 to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_conda_py3.9",
      "description": "b2bTools v3.0.8b3 for Python v3.9 using MiniConda3 to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_conda_py3.10",
      "description": "b2bTools v3.0.8b3 for Python v3.10 using MiniConda3 to install dependencies"
    },
    {
      "URL": "https://hub.docker.com/r/diazadriang/b2btools/",
      "type": "Docker",
      "image": "diazadriang/b2btools:3.0.8b3_conda_py3.11",
      "description": "b2bTools v3.0.8b3 for Python v3.11 using MiniConda3 to install dependencies"
    }
  ],
  "description": "This file contains the results of Bio2Byte predictors for proteins",
  "publications": [
    {
      "year": 2021,
      "title": "b2bTools: online predictions for protein biophysical features and their conservation",
      "authors": "Luciano Porto Kagami, Gabriele Orlando, Daniele Raimondi, Francois Ancien, Bhawna Dixit, Jose Gavald\u00e1-Garc\u00eda, Pathmanaban Ramasamy, Joel Roca-Mart\u00ednez, Konstantina Tzavella, Wim Vranken",
      "journal": "Nucleic Acids Research",
      "identifier": "https://doi.org/10.1093/nar/gkab425",
      "identifierType": "DOI"
    }
  ],
  "executionDetails": {
    "hostDetails": {
      "arch": "x86_64",
      "processor": "x86_64",
      "pythonVersion": "3.7.7",
      "pythonCompiler": "GCC 7.3.0",
      "operatingSystem": "Linux-6.8.0-59-generic-x86_64-with-debian-trixie-sid",
      "pythonImplementation": "CPython"
    },
    "executionTime": "2026-01-13T16:18:59.052897"
  }
}