Machine learning approaches to pattern discovery in protein-protein interaction networks of Huntington’s disease brain and model organisms are revealing novel connections of the disease state to the processes of DNA and chromosome damage-repair pathways. Some of these computational inferences have been tested and validated in Huntington’s disease experimental models, suggesting provocative therapeutic target concepts.