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In Silico Driven Prediction of MAPK14 Off-Targets Reveals Unrelated Proteins with High Accuracy

View ORCID ProfileFlorian Kaiser, Maximilian G. Plach, View ORCID ProfileChristoph Leberecht, Thomas Schubert, View ORCID ProfileV. Joachim Haupt
doi: https://doi.org/10.1101/2020.07.24.219071
Florian Kaiser
1PharmAI GmbH, Dresden, Germany /
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Maximilian G. Plach
22bind GmbH, Regensburg, Germany /
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Christoph Leberecht
1PharmAI GmbH, Dresden, Germany /
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Thomas Schubert
22bind GmbH, Regensburg, Germany /
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  • For correspondence: schubert@2bind.com haupt@pharm.ai
V. Joachim Haupt
1PharmAI GmbH, Dresden, Germany /
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  • ORCID record for V. Joachim Haupt
  • For correspondence: schubert@2bind.com haupt@pharm.ai
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Posted July 24, 2020.
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In Silico Driven Prediction of MAPK14 Off-Targets Reveals Unrelated Proteins with High Accuracy
Florian Kaiser, Maximilian G. Plach, Christoph Leberecht, Thomas Schubert, V. Joachim Haupt
bioRxiv 2020.07.24.219071; doi: https://doi.org/10.1101/2020.07.24.219071
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In Silico Driven Prediction of MAPK14 Off-Targets Reveals Unrelated Proteins with High Accuracy
Florian Kaiser, Maximilian G. Plach, Christoph Leberecht, Thomas Schubert, V. Joachim Haupt
bioRxiv 2020.07.24.219071; doi: https://doi.org/10.1101/2020.07.24.219071

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