Research projects
Learn by research area
Every project is grouped by the research area it belongs to, with the most popular one in each area leading its section.
Research projects
Every project is grouped by the research area it belongs to, with the most popular one in each area leading its section.
Programming, simulation and machine learning applied to real biological questions.
Apply machine learning to real cancer datasets. You prepare clinical and expression data, train and evaluate models, and finish with a documented analysis and performance results you can interpret.
Screen a compound library against a real drug target. You prepare the receptor, dock and rank the library, and finish with a shortlist of candidate hits you have filtered and can justify.
Run a complete protein simulation in GROMACS starting from no Linux experience. You build the system, run the dynamics yourself, and finish with an analysed trajectory and the RMSD, RMSF and radius-of-gyration plots that describe it.
Build a Python analysis workflow for biological data using NumPy, pandas and AI-assisted tooling. You finish with a reproducible notebook that carries raw data through to interpreted results and figures.
Work a biological dataset through R from import to finished figure. You learn the language on real examples and produce your own cleaned dataset, analysis script and publication-style plots.
Take a protein–ligand complex from raw structure to a finished simulation in GROMACS. You prepare the system, parameterise the ligand, run the dynamics, and come away with your own analysed trajectory and interaction plots.
Molecular and structural biology, from protein analysis through to drug discovery.
Turn a protein structure into figures that explain it. You learn PyMOL by building images and finish with a set of high-resolution renders and the scripts that generated them.
Profile a protein of your choosing across UniProt, SWISS-MODEL, STRING and Prosite. You gather sequence, structure, interaction and domain evidence, and finish with a complete annotation report.
Take a protein structure apart and rebuild it in PyMOL. You clean and edit the structure, analyse its interactions, and produce the annotated figures and reusable scripts your own work needs.
Plan a doctorate as a piece of work rather than a leap of faith. You map the field, test whether a research problem is viable, and finish with your own written roadmap covering topic, supervisor fit and timeline.
Writing, publishing and the craft of presenting research so it lands.