PremPLI predicts the effects of single mutations on protein-ligand interactions by calculating the binding affinity changes quantitatively. It can be used for guiding the design of ligand-binding proteins, identifying and understanding disease driver mutations, and finding potential resistance mutations for different drugs. The 3D structure of a protein-ligand complex is required for performing the prediction.
Step1 - Select Protein-Ligand Complex
Reference
Sun T, Chen Y, Wen Y, zhu Z, Li M. PremPLI: a machine learning model for predicting the effects of missense mutations on protein-ligand Interactions. Commun Biol
. PMID: 34799678
School of Biology & Basic Medical Sciences, Soochow University 199 Ren-Ai Road, Suzhou, Jiangsu, 215123 P.R. China