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Biological Systems Modeling

From years of working closely with scientists, we at Strand understand that most drug development programs fail at the pre-clinical stage due to poor pharmacokinetics and toxicity.

 

Strand's innovations in biological systems modeling help you combat failure at the pre-clinical stage.

 

  • Model Inputs

    • Protein level data

      • Interference with enzyme activity (assay with whole cell extract)

      • Indirect interference with enzyme activity (change in protein concentration

      • LC-MS Data

    • Gene expression data

      • Indirect input

      • Assumption that gene expression changes result in pathway perturbation

      • Concordant pathways are perturbed to assess impact of toxicant

    • Metabolite data

      • Direct or indirect inputs


Expertise and focus areas
Toxicity Potential Analysis

  • Understand extant data (genes, proteins, metabolites) on 3-5 compounds

  • Predictive simulation to map compound data upon pathways

  • Generate hypotheses on toxicity potential of compounds

  • Suggest a set of in vitro experiments to verify nature of toxicity

  • Generate a report on the compounds

Off-Target Effect Analysis

  • Use targets that have homologues present in liver (potential for liver toxicity)

  • Assess impact on pathways that upon dysregulation may lead to hepatotoxic effects

  • Recommend a set of experiments/biomarkers to provide experimental validation.

Case Studies