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Learn about the library of pharmacology QSP models available in Certara IQ™—spanning multiple therapeutic areas. This video showcases how users can leverage validated models to accelerate development, explore new hypotheses, and build upon proven mechanistic frameworks.

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Introducing Certara IQ, an AI enabled modeling platform for scaling and democratizing QSP modeling. Certara IQ offers a range of model libraries licensed separately, spanning numerous pharmacologies and therapeutic areas.

Hello, everyone. My name is Jessica Sinha. And in this video, we are joined by David Flowers, Certara’s modeling scientist who has contributed to developing Certara IQ’s library of pharmacology models. So, David, what are the current challenges drug developers are facing, and how does having this library of models address them?

Modern drug modalities are very complex. And, a consequence of this is that, nowadays, the relationship between the properties of drugs and their pharmacological activity and their exposure, are very complicated. And what this does is it makes it very hard to use traditional quantitative, usually exposure driven approaches to understand the relationship between drug properties and target properties and the the pharmacology, on the other side. So, these kinds of issues come up with a number of different modalities that includes, you know, like bispecifics and biologics with complex target engagement mechanisms, like T cell engagers, as well as other modalities that, have, more complex downstream modes of action that aren’t just driven by exposure, things like targeted protein degraders and gene therapies. And so one way you can deal with these complexities is to develop and use QSP models.

But the challenge with this is that the process for developing these models is extremely technical and often very slow and iterative, especially if you don’t have an abundance of programing or mathematical expertise on the team developing the drug and available to develop these models.

So we address these challenges by providing a set of pre validated models as part of these libraries that allows scientists to jump right into modeling simulations and testing and refining their biological intuitions without having to be sidetracked by all the technical issues and debugging, technical solvers and programing issues.

Issues. Though and we’ve also spent a lot of time being very intentional about making these models at just the right level of complexity to make them, interpretable but also insightful.

The, for example, the parameters in these models are set up and defined in a way to make them, correspond to measurable concrete quantities whenever possible. And there aren’t substantial parts of these models that correspond to non observable, processes, that don’t correspond to real biology.

K. Thank you, David. How does CTR IQ make it easy for our partners to utilize these models?

So we’ve also spent a lot of time putting together an interface that makes these models as accessible as possible to as broad of a range of scientists as possible. The models are accessible through a graphical interface, and this interface doesn’t require any programming, but it’s, developed, with the years of feedback from, modeling scientists. And as a result of that, it is now flexible enough to enable, very powerful analyses that address, Nitti’s needs, including, the ability to do parameter scans and generate lots involving a multitude of simulations.

The simulations are run-in parallel on an optimized solver. And because of this, in most cases, they run-in less than a second, if only a few seconds. So you don’t have to spend a lot of time waiting for simulations to run. All the technical details behind getting the simulations up and running as quickly as possible are handled, for you up front.

The models are also accessible through a a standardized interface and have been built with a set of standards in place for terminologies and symbols. So once you learn to use one of the models in our pack, you can easily learn others. So this lets you be very flexible and, and quick to get up to speed on any of the models in the library.

The also the parameters of the model are reset with standard values that are based on, typical kinds of values you would expect, which what this does is it allows you to adapt the models to different phases of drug development with different levels of data availability. Early in the the more conceptual phases of drug development, you have a good standard set of parameters that lets you evaluate, you know, early feasibility type questions before you actually have a, a concrete molecule in place. Or later in development, if you have some idea of properties like affinities and etcetera, you can plug those in.

There are quantity. Those quantities can be set in the model, and, you you can get a more concrete picture of your your particular, drug. The also, the we’ve spent a lot of time putting together the documentation around these models, to explain how they work, what mechanisms are included, the assumptions behind them, as well as information on the, resourced parameters, where they were derived from, and, also how to interpret those parameters. And, though all those things are readily available.

You. Thank you, David, for talking to us about how by using these pre validated QSP models, Certara IQ can enable jump starting assessment of complex molecules in development.

Thanks, Jessica.

With intuitive and scalable QSP model building, Certara IQ helps transform your drug development. To learn more about Certara IQ’s pre validated library of models, visit our website.

Access a world of ready-to-use QSP models through Certara IQ.

Certara IQ is the AI-enabled QSP modeling tool that will transform your research and scale your molecule’s potential.

Certara IQ offers flexible and scalable licensing options to cater to a variety of users and organization sizes.

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