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        <identifier>oai:researchdata.se:doi-10-17044-scilifelab-16866202/0</identifier>
        <datestamp>2023-05-30</datestamp>
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        <setSpec>subject:ssif:10203</setSpec>
        <setSpec>subject:ssif:102</setSpec>
        <setSpec>subject:ssif:1</setSpec>
        <setSpec>principal:slug:stockholm-university</setSpec>
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      <metadata>
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          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.17044/SCILIFELAB.16866202</dc:identifier>
          <dc:title xml:lang="en">Data and most relevant results for the FoldDock project</dc:title>
          <dc:creator>https://orcid.org/0000-0003-3439-1866</dc:creator>
          <dc:creator>Gabriele Pozzati</dc:creator>
          <dc:creator>Arne Elofsson</dc:creator>
          <dc:subject xml:lang="en">Medical and Health Sciences</dc:subject>
          <dc:subject xml:lang="sv">Medicin och hälsovetenskap</dc:subject>
          <dc:subject xml:lang="en">Bioinformatics (Computational Biology)</dc:subject>
          <dc:subject xml:lang="sv">Bioinformatik (beräkningsbiologi)</dc:subject>
          <dc:description xml:lang="en">Data and main results for the study "Improved prediction of protein-protein interactions using AlphaFold2 and extended multiple-sequence alignments."
Contained datasets consist of:1 - 219 heterodimers from dockground benchmark 4 dataset 2 - 1503 heterodimeric structures from a recent study (Green,  A. G. et al. Nat. Commun. 12, 1–12 (2021))3 - 7 heterodimeric complexes from CASP144 - 8 novel heterodimeric complexes deposited in the PDB database after 15 June 2021
For each one of the mentioned datasets it can be found in this repository:- concatenated protein sequences in FASTA format;- 3D structure atomic coordinates in PDB format;
- csv files summarizing chain IDs, chain lengths and other dataset parameters;- msas for pair of sequences, required to run AlphaFold2

For dataset 1 and 2, AlphaFold2 output docking results for 5 identical runs are provided as well, together with a csv summarizing dockq scores and different model quality metrics.</dc:description>
          <dc:publisher xml:lang="en">Stockholm University</dc:publisher>
          <dc:publisher xml:lang="sv">Stockholms universitet</dc:publisher>
          <dc:date>2022-03-17T00:00:00Z</dc:date>
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