Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A rapid procedure for initial drug evaluation.

A K Macpherson1, S Neti, P A Macpherson

  • 1Institute for Biomedical Engineering and Mathematical Biology, Lehigh University, Bethlehem, PA 18015, USA. macpherson@lehigh.edu

Physics in Medicine and Biology
|June 23, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The association between obesity and self-reported sinus infection in non-smoking adults: a cross-sectional study.

Clinical obesity·2016
Same author

Developing injury indicators for First Nations and Inuit children and youth in Canada: a modified Delphi approach.

Chronic diseases and injuries in Canada·2014
Same author

Doctor shopping before and after a visit to a paediatric emergency department.

Paediatrics & child health·2010
Same author

Examining the sensitivity of an injury surveillance program using population-based estimates.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention·2008
Same author

Development and psychometric validation of the HIV Treatment Knowledge Scale.

AIDS care·2007
Same author

Injury risk from popular childhood physical activities: results from an Australian primary school cohort.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention·2006
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

Computer simulations accelerate drug discovery by modeling drug-target interactions and feedback systems. This approach aids in selecting promising drug candidates, including hypertension treatments, by predicting their effects on physiological responses.

Area of Science:

  • Computational biology
  • Pharmacology
  • Systems biology

Background:

  • Drug discovery requires efficient methods to predict therapeutic success.
  • Understanding drug interactions within complex biological systems is crucial.
  • Existing simulation methods may lack the speed or scope for large-scale screening.

Purpose of the Study:

  • To develop rapid computer simulations for drug candidate selection.
  • To integrate a systems approach, modeling both drug targets and feedback mechanisms.
  • To create a general framework for evaluating drug efficacy and potential side effects.

Main Methods:

  • Developed a systems-based computer simulation model.
  • Simplified complex biological phenomena for computational efficiency.

Related Experiment Videos

  • Incorporated feedback mechanisms to mimic in vivo drug responses.
  • Applied the simulation to model hypertension drug effects and arteriole muscle contraction.

    • Main Results:

    • The simulation provides a rapid evaluation of potential drug candidates.
    • The systems approach effectively models drug interactions and feedback loops.
    • Demonstrated the simulation's utility in predicting drug dosage effects on physiological targets.

    Conclusions:

    • The developed simulation aids in identifying successful drug candidates.
    • This computational tool offers a rapid and systems-level approach to drug evaluation.
    • The simulation framework is applicable to various therapeutic areas, such as hypertension management.