Evidence map›Paper›PMID 40955065›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

QPRapp: A Web-Based Platform for PK/PD Simulations and Early Feasibility Analysis.

Saroj Dhakal, Yorgos M Psarellis, Nikhil Pillai, Panteleimon D Mavroudis

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Saroj DhakalQuantitative Pharmacology-Pharmacometrics-Research, Translational Medicine Unit (TMU), Sanofi, Cambridge, Massachusetts, USA.
Yorgos M PsarellisQuantitative Pharmacology-Pharmacometrics-Research, Translational Medicine Unit (TMU), Sanofi, Cambridge, Massachusetts, USA.ORCID 0000-0003-2540-0505
Nikhil PillaiQuantitative Pharmacology-Pharmacometrics-Research, Translational Medicine Unit (TMU), Sanofi, Cambridge, Massachusetts, USA.
Panteleimon D MavroudisQuantitative Pharmacology-Pharmacometrics-Research, Translational Medicine Unit (TMU), Sanofi, Cambridge, Massachusetts, USA.ORCID 0000-0002-0512-4147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative pharmacology research application (QPRapp) is a web-based, interactive, and easy to use Shiny for Python interface, which facilitates evaluation of dose-exposure relationships, pharmacokinetic/pharmacodynamic (PK/PD) assessment of small and large molecules, and calculation of target occupancy for mono-, bi-, and tri-specific molecules. The dashboard sidebar offers a streamlined approach that incorporates multiple inputs, with various drop-down options to conduct respective simulations. The user can specify the type of molecule (small or large), number of model's compartments (one or two), and for large molecules, the number of drug's targets (one, two, or three). Additionally, the user can choose among the four indirect response PD models and execute the corresponding PK/PD simulations for small molecules. The platform application allows users to easily export simulated scenarios as CSV files for further analysis. Boasting features such as target-mediated drug disposition (TMDD) and early feasibility analysis (EFA) for multi-specific molecules, this application can assist project teams with limited computational expertise in applying model-informed drug development (MIDD) during the early stages of drug discovery and development.

Indexed as

Models, BiologicalPharmacokineticsSoftwareComputer SimulationDose-Response Relationship, DrugFeasibility StudiesHumansInternetearly feasibility analysismodel‐informed drug developmentpharmacokinetic/pharmacodynamicshiny application

Identifiers

PMID40955065
PMCPMC12706400

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.