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

Educational Needs for Quantitative Systems Pharmacology Scientists.

James M Gallo1

  • 1Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA. jmgallo@buffalo.edu.

Methods in Molecular Biology (Clifton, N.J.)
|April 19, 2022
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

Introduction to Single-cell Physiologically-Based Pharmacokinetic (scPBPK) Models.

bioRxiv : the preprint server for biology·2026
Same author

Regulation of hepatic organic anion transporting polypeptide 1B-type transport function by the protein kinase LYN.

Drug metabolism and disposition: the biological fate of chemicals·2025
Same author

Network analyses of brain tumor multiomic data reveal pharmacological opportunities to alter cell state transitions.

NPJ systems biology and applications·2025
Same author

Multiscale mapping of transcriptomic signatures for cardiotoxic drugs.

Nature communications·2024
Same author

Network Analyses of Brain Tumor Patients' Multiomic Data Reveals Pharmacological Opportunities to Alter Cell State Transitions.

Research square·2024
Same author

Network Analyses of Brain Tumor Patients' Multiomic Data Reveals Pharmacological Opportunities to Alter Cell State Transitions.

bioRxiv : the preprint server for biology·2024
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Demand for quantitative systems pharmacology (QSP) experts exceeds supply due to educational gaps. This study explores barriers and proposes solutions to establish QSP as a distinct scientific discipline.

Area of Science:

  • Pharmacology
  • Computational Biology
  • Systems Biology

Background:

  • Quantitative Systems Pharmacology (QSP) integrates computational modeling with pharmacological data.
  • Established fields like pharmacokinetics (PK) and pharmacodynamics (PD) have integrated educational programs.
  • A gap exists between the demand for QSP-trained scientists and current graduate education offerings.

Purpose of the Study:

  • To explore the hindrances preventing the evolution of graduate education for Quantitative Systems Pharmacology.
  • To propose strategies for establishing QSP as a unique and recognized scientific discipline.
  • To address the unmet demand for scientists skilled in QSP.

Main Methods:

  • Literature review on existing graduate programs in related fields.
Keywords:
PharmacodynamicPharmacokineticPharmacologyQuantitativeSystemsTraining

Related Experiment Videos

  • Analysis of the multidisciplinary nature of QSP.
  • Identification of barriers to curriculum development in QSP.

    • Main Results:

    • Graduate education has not kept pace with the demand for QSP expertise.
    • The multidisciplinary nature of QSP presents unique challenges for traditional academic structures.
    • Specific obstacles to integrating QSP into curricula were identified.

    Conclusions:

    • QSP requires dedicated educational pathways to meet workforce demands.
    • Overcoming educational inertia is crucial for advancing QSP as a discipline.
    • Strategic changes in graduate programs are necessary to train future QSP scientists.