Optimizing OINDP Regulatory Paths With Model Master Files (MMF) 

21 Aug 2025

Optimizing OINDP Regulatory Paths With Model Master Files (MMF) 

Share

Download the article

In the evolving landscape of pharmaceutical innovation, the need to streamline regulatory processes is more urgent than ever. For developers of Orally Inhaled and Nasal Drug Products (OINDPs), navigating complex regulatory frameworks can be time-consuming and resource-intensive—especially when it comes to validating computational models across multiple submissions. Enter the Model Master File (MMF): a transformative tool designed to simplify and accelerate regulatory review by enabling the reuse of validated models.

MMFs are confidential repositories that house verified simulation models, allowing technology providers to reference them across multiple applications without redundant documentation. Much like Drug Master Files (DMFs), MMFs protect intellectual property while facilitating regulatory transparency. This approach is particularly valuable in the context of quantitative medicine, where advanced modeling and simulation are increasingly used to predict biological outcomes and support drug development.

A recent article published in Pharmaceutical Research, co-authored by experts from Nanopharm and Fluidda, explores the growing significance of MMFs in regulatory science. The paper highlights how MMFs can serve as a bridge between technology companies and regulators, fostering collaboration and enabling more efficient use of modeling tools like Computational Fluid Dynamics (CFD) and Physiologically Based Pharmacokinetic (PBPK) modeling.

Nanopharm’s SmartTrack™ platform exemplifies the power of MMFs in action. By leveraging CFD and PBPK models, SmartTrack™ can simulate drug deposition and absorption in the respiratory tract, offering a reliable alternative to traditional clinical endpoint studies. These capabilities are especially relevant for demonstrating bioequivalence in OINDPs, a process that has historically required extensive clinical trials. The FDA’s updated Product Specific Guidances (PSGs) in 2024 acknowledged the value of such modeling approaches, signaling a shift toward more innovative regulatory practices.

One of the key challenges in using simulation models for regulatory submissions is the need to repeatedly validate and verify the same model for different applications. This not only slows down the development process but also increases costs. MMFs address this issue by allowing validated models to be referenced across multiple submissions, provided they meet the Verification and Validation (V&V40) standards. This reduces duplication and ensures consistency in regulatory documentation.

The article also presents five case studies that illustrate the practical benefits of MMFs. These include applications of SmartTrack™ in optimizing candidate batch selection and de-risking clinical trial design. By accurately predicting biological outcomes, these models help developers make informed decisions earlier in the development cycle, ultimately accelerating time-to-market.

Looking ahead, MMFs have the potential to support a broader range of applications. For example, in the OINDP space, MMFs could be expanded to include different inhaler types, aerosol particle sizes, and flow dynamics. However, to fully realize this potential, clear regulatory guidelines are needed to define acceptable practices for model modification and reuse. Establishing these standards will be critical to ensuring the credibility and reliability of MMFs in diverse contexts.

Another important consideration is the nature of communication between technology providers and regulatory bodies like the FDA. Currently, interactions are often limited to specific drug applications or research grants, with little opportunity for broader dialogue. Organizations such as the Quantitative Medicine Center of Excellence (QM CoE) and the Center for Research on Complex Generics (CRCG) are working to improve this dynamic, but more structured engagement is needed.

Ultimately, MMFs represent a pivotal advancement in regulatory science. By enabling more efficient use of computational models, they support the transition to quantitative medicine and help pave the way for faster, safer, and more cost-effective drug development. As the industry continues to embrace digital innovation, MMFs will play a central role in aligning scientific progress with regulatory rigor.

Download the article

Related Posts