Quantifying collapse likelihood and entropic behavior of protein residues using physics-based scoring.
Designed for structured proteins, this mode estimates collapse likelihood by integrating entropy, hydropathy, and geometric curvature. It is optimized for well-folded globular domains and structured motifs.
Developed for intrinsically disordered proteins (IDPs), this inverse mode highlights flexible and non-collapsing regions using an entropy-reflected scoring model aligned with disorder-prone regions.