Predictive modeling in data-driven drug discovery

Despite growing scientific insight and technological investment, attempts to develop novel therapies still show limited success.

Predictive modeling in data-driven drug discovery

Traditional drug screening approaches oversimplify the complexity of living cells by focusing on a 1-to-1 substance–target relationship. Conversely, modern data-driven drug design utilizes all available layers of information to create predictive models that select compounds likely to have the desired effect on the phenotype. High-quality, carefully curated data is essential for this approach.

In this white paper, you will learn more about:

  • Modeling at the single molecule level, network level and multiple substance–target interactions
  • Implementing data-driven drug design
  • The future of systems-based drug development

Read the white paper.

To access the complimentary white paper 'From molecule to phenotype: Predictive modeling in Data-Driven Drug Discovery', please fill in the form below.

Elsevier's R&D Solutions supporting 'From molecule to phenotype: Predictive modeling in Data-Driven Drug Discovery'


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