DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics

• Mohammadamin Moragheb,

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

  Affiliation Department of Bioinformatics, Kish International Campus, University of Tehran, Kish, Iran

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• Alireza Dehghan,

  Roles Conceptualization, Software, Validation, Visualization, Writing – original draft

  Affiliation Department of Computer Engineering, Faculty of Technology and Engineering, Salman Farsi University of Kazerun, Kazerun, Iran

  https://orcid.org/0000-0003-2284-2682

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• Parvin Razzaghi ,

  Roles Conceptualization, Methodology, Resources, Supervision, Visualization, Writing – review & editing

  * E-mail: s.gharaghani@ut.ac.ir (SG); p.razzaghi@iasbs.ac.ir (PR)

  Affiliation Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

  https://orcid.org/0000-0002-7031-4609

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• Sajjad Gharaghani

  Roles Conceptualization, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: s.gharaghani@ut.ac.ir (SG); p.razzaghi@iasbs.ac.ir (PR)

  Affiliation Laboratory of Bioinformatics and Drug Design (LBD), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran

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