Open access
Aug 2026
DeepPNI: a language- and graph-based model for mutation-driven protein–nucleic acid binding energetics
DeepPNI is a deep learning regression model that integrates sequence- and structure-based features to estimate mutation-induced changes in binding free energy in protein–nucleic acid complexes, developed using a comprehensive dataset of 1754 mutations spanning protein–DNA and protein–RNA complexes.
Somnath Mondal, Tinkal Mondal, Soumajit Pramanik et al.
· Nucleic Acids Research · 0 citations