simonnoff / rnn-particle-tracking

This project is part of my final year dissertation at the University of Birmingham. The purpose of this project is to offer a novel way of tracking movement and interactions between single particles using the state-of-the-art model – deep recurrent neural networks. More specifically, the project is focused on G protein-coupled receptors (GPCRs) and the interactions between them. These complex events can have a significant impact on further protein-protein iterations. The ability to track GPCRs effectively can stimulate the understanding of certain diseases as well as the ability to cure them successfully. You can learn more about the problem here: https://www.sciencedirect.com/science/article/pii/S0165614717302055

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This project is part of my final year dissertation at the University of Birmingham. The purpose of this project is to offer a novel way of tracking movement and interactions between single particles using the state-of-the-art model – deep recurrent neural networks. More specifically, the project is focused on G protein-coupled receptors (GPCRs) and the interactions between them. These complex events can have a significant impact on further protein-protein iterations. The ability to track GPCRs effectively can stimulate the understanding of certain diseases as well as the ability to cure them successfully. You can learn more about the problem here: https://www.sciencedirect.com/science/article/pii/S0165614717302055


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