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@ARTICLE{Yu:602299,
      author       = {Yu, Dingquan and Chojnowski, Grzegorz and Rosenthal, Maria
                      and Kosinski, Jan},
      title        = {{A}lpha{P}ulldown—a python package for protein–protein
                      interaction screens using {A}lpha{F}old-{M}ultimer},
      journal      = {Bioinformatics},
      volume       = {39},
      number       = {1},
      issn         = {0266-7061},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {PUBDB-2024-00574},
      pages        = {btac749},
      year         = {2023},
      note         = {This work was supported by the German Research Foundation
                      (DFG) [KO 5979/2-1].},
      abstract     = {The artificial intelligence-based structure prediction
                      program AlphaFold-Multimer enabled structural modelling of
                      protein complexes with unprecedented accuracy. Increasingly,
                      AlphaFold-Multimer is also used to discover new
                      protein–protein interactions (PPIs). Here, we present
                      AlphaPulldown, a Python package that streamlines PPI screens
                      and high-throughput modelling of higher-order oligomers
                      using AlphaFold-Multimer. It provides a convenient
                      command-line interface, a variety of confidence scores and a
                      graphical analysis tool.},
      cin          = {CSSB-EMBL-JK},
      ddc          = {570},
      cid          = {I:(DE-H253)CSSB-EMBL-JK-20210701},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36413069},
      UT           = {WOS:000892528500001},
      doi          = {10.1093/bioinformatics/btac749},
      url          = {https://bib-pubdb1.desy.de/record/602299},
}