In silico modeling technologies are transforming drug development and manufacturing by enhancing efficiency, accuracy, to allow innovations. Powered by artificial intelligence, machine learning, bioinformatics, molecular dynamics simulations, and systems biology, these tools help accelerate the development of new drugs, optimize their formulation, ensure quality in manufacturing, and streamline regulatory processes, all while potentially reducing costs and time to market.
Thermo Fisher Scientific's array of advanced computational and digital modeling capabilities, referred to collectively as our Engineered Solutions support a comprehensive approach to drug product development by enabling smarter decisions based on a better understanding of different product parameters.
Comprising proprietary and industry-standard technologies, these solutions are instrumental in de-risking and speeding up each phase of drug development. Specific applications include:
Advantages of Thermo Fisher Scientific’s Engineered Solutions:
Digital modeling powered by AI, machine learning, and other innovative technologies, are transforming every stage of drug development by enhancing efficiency and precision, minimizing risks, and accelerating progress.
Between 70% and 90% of new chemical entities in development face solubility challenges, affecting bioavailability. Addressing these issues requires knowledge of delivery mechanisms and excipient functionality. Early consideration of formulation strategies affecting bioavailability and solubility is important to avoid costly errors later. Thermo Fisher Scientific’s proprietary platform for solubility and bioavailability enhancement, Quadrant 2, is a diagnostic tool for early development, which allows us to see in-silico predictions of formulations, which can save time and costs compared with trial-and-error approaches
Quadrant 2
Learn about our proprietary platform for solubility and bioavailability enhancement, Quadrant 2TM here.
Browse our resource library to learn more about Quadrant 2 and other digital modeling capabilties.
Determining product shelf life is a regulatory requirement for pharmaceuticals and an important consideration for packaging decisions.
Predictive accelerated stability studies allow the long-term stability characteristics of a drug substance or drug product to be characterized from extrapolation of results of short-term studies that measure, track, and quantify stability-indicating attributes, such as degradation, thermal properties, crystallinity, color, viscosity, and particle size.
Computational methods for accelerated stability assessment program (ASAP) studies are powerful tools for quickly and accurately predicting product shelf life and packaging options for tablets, capsules, softgels, intermediates, granules, blends, solutions, and suspensions.
Predictive stability modeling is widely accepted globally for early clinical trials (INDs/IMPDs. The data are also used in new drug approval (NDA) applications for the following purposes:
Post-approval applications include justification for reduced-protection packaging and acceptance of after-shipping excursions.