Sequence-based Prediction of Metamorphic Behavior in Proteins
N. Chen, M. Das, A. Liwang, L.-P. Wang
This paper introduces a sequence-based computational model to predict metamorphic behavior in proteins using diversity indices derived from secondary structure predictions, achieving a Matthews correlation coefficient of ~0.4.