在持续释放配方的开发中整合人工神经网络和基于生理学的生物制药模型
Frederico Severino Martins1,2, Luiza Borges3, Rene Oliveira do Couto4
1esqLABS GmbH, Saterland, Germany.
Biopharmaceutics & drug disposition
|August 30, 2023
概括
基于模型的药物开发使用人工神经网络 (ANN) 和基于生理学的生物制药建模 (PBBM) 来优化甲胺HCl配方. 这种方法成功地预测了持续释放片的生物等价性,帮助了仿制药行业.
科学领域:
- 药理动力学和药物新陈代谢
- 制药配方和药物输送 制药配方和药物输送
- 计算机建模和模拟
背景情况:
- 基于模型的药物开发 (MIDD) 越来越多地被监管机构和仿制药行业采用.
- 基于生理学的生物制药建模 (PBBM) 是药物开发和生物等价性 (BE) 研究的关键工具.
- 优化持续释放配方需要先进的建模技术,以确保治疗疗效和监管合规性.
研究的目的:
- 使用人工神经网络 (ANN) 与多层感知子 (MLP) 模型开发持续释放的甲福林HCl 500 mg矩阵片剂配方.
- 评估优化的原型配方与使用 PBBM 和虚拟生物等价性 (vBE) 的 Glucophage® XR 的潜在生物等价性.
- 证明ANN,MLP和PBBM在优化药物配方和预测仿制药开发中的生物等价性方面的实用性.
主要方法:
- 使用带有多层感知子 (MLP) 模型的人工神经网络 (ANN) 同时优化了735种潜在配方.
- 基于生理学的生物制药建模 (PBBM) 用于模拟药物释放和预测药物动力学特征.
- 通过比较优化配方和参考产品 (Glucophage® XR) 的模拟配置文件,进行了虚拟生物等价性 (vBE) 评估.
主要成果:
- 该ANN-MLP模型成功地确定了一种最佳配方,包括228毫克的基甲基纤维素 (HPMC) 和151毫克的聚烯 (PVP).
- 优化的配方表现出受控释放的特征:42%在1小时,47%在2小时,55%在4小时,58%在8小时.
- PBBM和vBE分析证实了建模方法在评估原型和参考配方之间的生物等价性方面的有效性.
结论:
- 基于生理学的生物制药建模 (PBBM) 对于评估甲胺配方的生物等价性是有效的.
- 使用翻译建模的虚拟生物等价性 (vBE) 评估是相关的,并证明了MIDD方法的实用性.
- 集成ANN,MLP和PBBM为优化药物配方和支持仿制药行业生物制药评估提供了一个强大的策略.
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