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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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Dose Predictions for Drug Design.

Tristan S Maurer1, Dennis Smith2, Kevin Beaumont1

  • 1Medicine Design, Pfizer Worldwide Research and Development, Cambridge, Massachusetts 02139, United States.

Journal of Medicinal Chemistry
|January 9, 2020
PubMed
Summary
This summary is machine-generated.

Drug dose prediction is crucial for therapeutic potential. Current methods enable early predictions in drug discovery, guiding design and lead optimization for viable drug regimens.

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Area of Science:

  • Pharmacology
  • Drug Discovery
  • Computational Chemistry

Background:

  • Efficacious drug dose is a key metric for therapeutic potential.
  • Dose prediction has evolved from animal models to early drug discovery stages.
  • Current methods integrate dose predictions into drug design and lead optimization.

Purpose of the Study:

  • To provide an overview of opportunities and challenges in dose prediction for drug design.
  • To discuss general considerations and approaches for early-stage dose prediction.
  • To highlight the role of dose prediction in identifying critical drug properties.

Main Methods:

  • Review of historical and current dose prediction methodologies.
  • Discussion of general considerations for dose prediction in drug design.
  • Presentation of case examples illustrating dose prediction applications.

Main Results:

  • Dose prediction is now feasible early in drug discovery, aiding drug design.
  • Early dose predictions identify critical drug properties for viable dose regimens.
  • Clinically relevant context is provided to lead optimization through dose prediction.

Conclusions:

  • Dose prediction offers significant opportunities for optimizing drug design.
  • Challenges in dose prediction need to be addressed for effective implementation.
  • Integrating dose prediction early enhances the development of viable drug candidates.