Chapter 10: Computational resources for understanding disease-causing mutations in proteins: applications to HIV

Amino acid substitutions in a protein alter its structure, which may affect the function and lead to diseases. Identifying disease-causing mutations is important for disease diagnosis and the development of personalized medicine. The advent of vast and diverse datasets and the availability of machine learning and deep learning algorithms has paved the way for the development of computational techniques to identify disease-causing mutations. This chapter comprehends the list of available tools for identifying disease-causing mutations, with an emphasis on the role of mutations in conferring drug resistance in human immunodeficiency virus (HIV) infection.