Using In Silico Models to Predict Clinical Outcomes

The role of in silico profiling in the drug candidate selection process is growing. Clinical outcome predictions are proving increasingly accurate thanks to both the available higher-quality data and the more powerful in silico modeling tools. For novel and repurposed drugs, these modern research solutions are helping to reduce failure in clinical phases.

This article looks at specific areas where this in silico approach is growing in popularity, including these key tasks for successful drug candidate selection:

  • Methods of assessing genotoxicity
  • High-throughput ADMET analyses
  • Early assessments of safety and toxicity

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