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@ARTICLE{Ribeiro:1024531,
      author       = {Ribeiro, Rui P and Giorgetti, A.},
      title        = {py{GOM}o{D}o: {GPCR}s modeling and docking with python},
      journal      = {Bioinformatics},
      volume       = {39},
      number       = {5},
      issn         = {0266-7061},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {FZJ-2024-02218},
      pages        = {btad294},
      year         = {2023},
      abstract     = {Motivation: We present pyGOMoDo, a Python library to
                      perform homology modeling and docking, specifically designed
                      for human GPCRs.pyGOMoDo is a python wrap-up of the updated
                      functionalities of GOMoDo web server
                      (https://molsim.sci.univr.it/gomodo). It was developedhaving
                      in mind its usage through Jupyter notebooks, where users can
                      create their own protocols of modeling and docking of GPCRs.
                      In this article, we focus on the internal structure and
                      general capabilities of pyGOMoDO and on how it can be useful
                      for carrying out structural biology studies of
                      GPCRs.Results: The source code is freely available at
                      https://github.com/rribeiro-sci/pygomodo under the Apache
                      2.0 license. Tutorial notebooks containing minimal working
                      examples can be found at
                      https://github.com/rribeiro-sci/pygomodo/tree/main/examples.},
      cin          = {IAS-5 / INM-9},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37137232},
      UT           = {WOS:000988604300005},
      doi          = {10.1093/bioinformatics/btad294},
      url          = {https://juser.fz-juelich.de/record/1024531},
}