An interpretable machine learning framework for adverse drug reaction prediction from drug-target interactions

• Joseph Roberts-Nuttall ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: j.robertsnuttall@gmail.com (JRN); a.m.jones.2@bham.ac.uk (AMJ)

  Affiliation School of Mechanical Engineering, University of Birmingham, Edgbaston, United Kingdom

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• Alan M. Jones ,

  Roles Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

  * E-mail: j.robertsnuttall@gmail.com (JRN); a.m.jones.2@bham.ac.uk (AMJ)

  Affiliation School of Pharmacy, University of Birmingham, Edgbaston, United Kingdom

  https://orcid.org/0000-0002-3897-5626

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• Marco Castellani,

  Roles Methodology, Validation, Writing – review & editing

  Affiliation School of Mechanical Engineering, University of Birmingham, Edgbaston, United Kingdom

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• Duc Pham

  Roles Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

  Affiliation School of Mechanical Engineering, University of Birmingham, Edgbaston, United Kingdom

  https://orcid.org/0000-0003-3148-2404

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