Packpred: predicting the functional effect of missense mutations

• Main Authors: Tan, Kuan Pern, Kanitkar, Tejashree Rajaram, Kwoh, Chee Keong, Madhusudhan, Mallur Srivatsan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Missense Mutation Effect Prediction; Amino Acid Depth
• Online Access: https://hdl.handle.net/10356/160847
• Institution: Nanyang Technological University

Predicting the functional consequences of single point mutations has relevance to protein function annotation and to clinical analysis/diagnosis. We developed and tested Packpred that makes use of a multi-body clique statistical potential in combination with a depth-dependent amino acid substitution...