Paul Saighi

This paper introduces a biologically inspired mechanism for continuous learning in associative memory networks that autonomously retrieves stored patterns and prevents catastrophic forgetting.

DAVI clusters and visualizes protein domain architectures, offering a user-friendly tool for comparing and analyzing domain structures.

LEVELNET is a tool for visualizing, exploring, and comparing protein-protein interaction networks using multilayered graphs and structural data from the Protein Data Bank.

This study develops a computational framework to quantify disorder in coiled-coils and design substitutions to modulate their stability and flexibility.