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

doi:10.1101/2020.07.24.219071

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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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ORCID record for Florian Kaiser

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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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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