Saroj Dhakal, Yorgos M Psarellis, Nikhil Pillai, Panteleimon D Mavroudis
{"title":"QPRapp: A Web-Based Platform for PK/PD Simulations and Early Feasibility Analysis.","authors":"Saroj Dhakal, Yorgos M Psarellis, Nikhil Pillai, Panteleimon D Mavroudis","doi":"10.1002/psp4.70107","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CPT: Pharmacometrics & Systems Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/psp4.70107","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
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.
定量药理学研究应用程序(QPRapp)是一个基于web的、交互式的、易于使用的Shiny for Python界面,它有助于评估剂量-暴露关系,小分子和大分子的药代动力学/药效学(PK/PD)评估,以及计算单、双、三特异性分子的目标占用。仪表板侧边栏提供了一种简化的方法,它包含多个输入,并带有各种下拉选项来进行各自的模拟。用户可以指定分子的类型(小分子或大分子),模型室的数量(一个或两个),对于大分子,药物靶标的数量(一个、两个或三个)。此外,用户可以在四种间接响应PD模型中进行选择,并对小分子进行相应的PK/PD模拟。该平台应用程序允许用户轻松地将模拟场景导出为CSV文件,以便进行进一步分析。该应用程序具有目标介导的药物处置(TMDD)和多特异性分子的早期可行性分析(EFA)等功能,可以帮助项目团队在药物发现和开发的早期阶段应用基于模型的药物开发(MIDD)。