Steve O’Hagan

The paper assesses structural similarities between common fluorophores and drugs, metabolites, and natural products, finding significant overlaps in chemical space.

This paper introduces DeepGraphMol, a method using graph convolution and reinforcement learning to generate molecules with desired properties, such as binding to dopamine transporters while avoiding norepinephrine binding.

The paper introduces the Gini coefficient as a method to select stable reference genes for normalizing expression data, showing it outperforms traditional methods across multiple datasets.

The paper uses the Gini coefficient to analyze transporter gene expression heterogeneity in human tissues and cell lines, identifying novel housekeeping genes and highlighting specialisation trends.