(Deanship of Research/ Al-Quds University, 2024-04-01) Baneen Hussein Abd Zaid; Abeer Ali Naji; Kawthar Hataf Fazaa; Ahmed Jebur Ali
Cluster analysis of amino acids poses a difficult task in the field of predicting protein function and structure. This research proposes a novel method that focuses on using the p-value obtained from an angular randomization test that evaluates the similarity of dihedral-angle distributions as the main measure for clustering.