Research

Organic molecules fascinate chemists due to the rich range of structures they can show: from methane (CH4) to DNA or bigger. One particularly interesting concept is the fact that some organic compounds can exist as pairs of non superimposable mirror images (for a visual image think of your own pair of hands). We are interested in machine learning processes that are able to recognise chiral structures in large ensembles of molecules, especially when these are only presented in the 2D line drawn format that chemists have used for over 100 years. Suprisingly, there are relatively few well curated databases that contain this information, especially for the more unusual manifestations of chirality. Your help in achieving this goal is massively appreciated.