Dejager Lien, Banton Sophia, Marques Patricia, Rinikova Gabriela, Lory Sabrina, Hickford Elizabeth S, Martin-Hamka Carole, Penney Mark, Grootjans Sasker
UCB Biopharma, Allée de la Recherche 60, 1070 Brussels, Belgium.
Employed by UCB at the time the work was undertaken.
Bioanalysis. 2024 Jun 2;16(11):519-533. doi: 10.4155/bio-2023-0242. Epub 2024 Apr 17.
Ligand-binding assays (LBAs) rely on the reversible, noncovalent binding between the analyte of interest and the assay reagents, and understanding their dynamic equilibrium is key to building robust LBA methods. Although the dynamic interplay of free and bound fractions can be calculated using mathematical models, these are not routinely applied. This approach is costly in terms of both assay development time and reagents, and can result in an under-exploration of the possible parameter combinations. Therefore, we have created a user-friendly simulation tool to facilitate LBA development (the BiSim Tool). We describe the models driving the mathematical simulations and the main features of our software solution by means of case studies, illustrating the tool's value in drug development. To support drug development for all patients worldwide, the BiSim Tool is now available as an open-source code project and as a free web-based tool at https://proteinbindingsimulation.shinyapps.io/BiSim-ProteinBindingSimulation [1].
配体结合分析(LBA)依赖于目标分析物与分析试剂之间的可逆非共价结合,理解它们的动态平衡是建立可靠LBA方法的关键。虽然游离和结合部分的动态相互作用可以使用数学模型计算,但这些模型并未得到常规应用。这种方法在分析方法开发时间和试剂方面成本高昂,并且可能导致对可能的参数组合探索不足。因此,我们创建了一个用户友好的模拟工具来促进LBA开发(BiSim工具)。我们通过案例研究描述驱动数学模拟的模型以及我们软件解决方案的主要特性,说明该工具在药物开发中的价值。为了支持全球所有患者的药物开发,BiSim工具现在作为一个开源代码项目以及一个免费的基于网络的工具提供,网址为https://proteinbindingsimulation.shinyapps.io/BiSim-ProteinBindingSimulation [1]。