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Towards predictive computational platform for drug solubilization in the gastrointestinal tract

Project description

Enabling efficient in silico screening of intestinal drug solubility

Improving the bioavailability of active pharmaceutical ingredients is a challenge in drug development, particularly when it involves solubilising lipophilic compounds within the small intestine, where lipids and bile salts form colloidal structures. Supported by the Marie Skłodowska-Curie Actions programme, the ABSOLUTE project aims to address this by creating a computational platform to simulate and predict drug solubilisation in biorelevant media that mimics gastrointestinal fluids (GIFs). To do so, it will create key Martini 3 molecular models to improve the parameterisation of bile salts and drugs and pharmaceutical compounds. Then, by simulating GIFs containing all observed micelles, vesicles and droplets, it will monitor how drugs are solubilised in these environments.

Objective

Improving the oral absorption of poorly water-soluble drug molecules remains one of the major challenges in the pharmaceutical industry. A key bottleneck in this process is the solubilization of administered lipophilic compounds in the small intestines, where bile salts (BS) and lipids assemble into colloidal particles. Therefore, understanding the mechanisms and controlling factors of this process is critical for drug development.
The advent of powerful supercomputers has enabled the integration of in silico techniques into the investigation of complex, realistic systems. However, no existing computational platform explicitly accounts for intermolecular interactions to predict drug solubilization in gastrointestinal fluids (GIF). In this project, I will employ coarse-grained (CG) molecular dynamics (MD) to characterize the particles in GIF, and develop a python based computational platform to predict drug solubilization. The time and size scales involved, and the complexity of multi-component systems, make CG MD the most appropriate modeling tool to my project.
An important initial step will be the development of required molecular models within the widely used and state-of-the-art Martini 3 framework. This task will leverage mine and the supervisor’s expertise to fill an important gap in CG MD bile salts and drug parameterization, and will expand on its own the applicability of CG MD to entire new areas. I will simulate GIF containing all scales of micelles/vesicles/droplets that are experimentally detected but not yet computationally studied in the entire range. Finally, I will be able to follow the solubilization mechanisms of drug molecules in the created GI environments, also leveraging a non-academic placement with an important pharmaceutical partner. Ultimately, this work will enable efficient in silico screening of intestinal drug solubility before in vitro and in vivo studies and guiding the identification of promising candidates for drug discovery.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

UNIVERSIDADE NOVA DE LISBOA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 239 178,90
Address
CAMPUS DE CAMPOLIDE
1099 085 Lisboa
Portugal

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Activity type
Higher or Secondary Education Establishments
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Total cost

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