Using Neural Networks to Identify Features Associated with HIV Nef Protein and Cancer

HIV Nef protein has a known association with cancer, yet the specific features associated with this relationship remain poorly characterized. Using a dataset of well curated Nef sequences, we trained evolved neural networks to classify sequences as having originated from cancer or non-cancer samples. This process allows us to identify features that are possibly associated with Nef protein in HIV and its relation to cancer. We review the methods and features identified for their biological significance.