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Abstract 2796: Predicting in vivo efficacy from in vitro data: Quantitative systems pharmacology modeling for an epigenetic modifier drug in cancer

Year: 2018

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2018-2796

Authors: Mehdi Bouhaddou, Li J. Yu, Serena Lunardi, Spyros K. Stamatelos, Fiona Mack, James M. Gallo, Marc R. Birtwistle, Antje-Christine Walz

Institutions: Oryzon Genomics (Spain), Albany College of Pharmacy and Health Sciences, Icahn School of Medicine at Mount Sinai, F. Hoffmann-La Roche AG

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2885618180

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