QSP/SP Modeling
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QSP/SP Modeling

QSP/SP modeling aims to investigate the following issues: quantitative description, interpretation and prediction of PK and PD data, quantifying uncertainties associated with PK and PD, and making rational decisions about drug development and drug therapy. BOC Sciences provides QSP/SP modeling service to accelerate drug development programs, providing our clients with reliable results that support the decision-making process.


Quantitative systems pharmacology (QSP) is an emerging field that builds on traditional pharmacokinetics (PK) to apply new pharmacological concepts to the development and use of drugs. QSP describes the dynamic interactions between drugs and biological systems. QSP/SP modeling aims to use computational models to improve understanding of biological systems and diseases, facilitate early and thorough computerized testing of drug candidates, and support rational decision making and reduce development costs and time.

QSP modeling requires quantitative representation of all relevant reaction kinetics in a sufficiently complex manner for the design purposes of QSP models. From a pharmacological perspective, QSP representations are inherently multi-scale (organ→tissue→cell→protein and regulatory metabolites→gene).

QSP/SP modeling uses mathematical and statistical methods to study pharmacokinetics, i.e. the absorption, distribution, metabolism and excretion (ADME) of drugs in the body, and pharmacodynamics, i.e. the action of drugs in the body. Typical objectives of QSP/SP modeling include:

  • Biomarker-based evaluation
  • Drug-drug interaction risk and specific drug interaction potential evaluation (PD interaction)
  • PK/PD evaluation
  • Weight/size impact on PK
  • Developmental influence on PK
  • First time in human (FTIH) dose prediction
  • First in patient (FTIP) dose prediction
  • Proof-of-mechanism evaluation
  • Proof-of-concept evaluation
  • Disease progression evaluation

Our QSP/SP Modeling Services

  • Target feasibility and selection

QSP/SP modeling allows establishing affinity and dose requirements and predicting optimal drug parameters for each potential target and drug candidate at an early stage. This approach helps to eliminate targets with low exploitability and find more promising drug candidates.

  • Drug efficacy and safety

QSP/SP modeling has the potential to predict the efficacy of drugs in humans and can also help determine which drugs are likely to fail and why. Because QSP models can predict drug exposure at the organ level, they also provide insight into mechanisms of toxicity and potential side effects.

  • Dose optimization

Complex diseases such as cancer, central nervous system disorders, and metabolic diseases often involve combination therapy. Combining disease mechanisms through QSP/SP models can bring important insights for determining optimal dose levels and combination therapies.

Our Advantages

  • Advanced QSP/SP modeling methods
  • Experienced team of pharmacology experts
  • Close collaboration with clients to determine the most appropriate and cost effective solution
  • Highly reliable and repeatable analyses
  • Data modeling and analysis, detailed results reporting and discussion
  • Meeting your specific requirements for study objectives, budget and time

What Can We Do?

QSP/SP modeling can optimize drug design protocols to improve the success rate of experiments; it can also optimize drug dosing to reduce side effects and improve efficacy to shorten the process of new drugs from the lab to market. BOC Sciences provides superior QSP/SP modeling services. We connect with global clients in the pharmaceutical industry to help pharmaceutical scientists make decisions to support drug development and registration.