This application provides a user-friendly interface to explore pharmacogenomics predictions, with a particular focus on data relevant to Africa.
This project is a collaboration between the Ersilia Open Source Initiative and the H3D Center. The primary objective is to identify genes that could potentially influence drug responses. We wrote about this in a comment in Nature: Turon et al, 2024.
For a more comprehensive understanding of the project, please visit pharmacogx-embeddings, the central GitHub repository of the project.
This application provides a straightforward way to explore predictions derived from a combination of embedding-based drug-gene ranking and GPT-4 assisted re-ranking. For each drug, we offer 10 high-quality prioritized genes and 40 additional predictions of lower confidence.
To use this application, you first need to install the necessary dependencies. You can do this by running the following command in your terminal:
pip install -r requirements.txtOnce the dependencies are installed, you can start the application using Streamlit with the following command:
streamlit run app/app.pyFor those who prefer not to install the application locally, we provide an online demo that you can access here: https://pharmacogx-app.streamlit.app
Please be aware that the data presented in this application is the result of extensive use of machine learning and AI models. While we strive for accuracy, the results are intended for research purposes only. They should not be used to inform clinical decision-making without further validation.
Learn more about the Ersilia Open Source Initiative in the Ersilia GitHub profile. Ersilia is a non-profit organization aimed at supporting infectious disease research in the Global South.