Proteins are compact polymers that form well defined, folded structure
s. Since distant subunits along the chain can be in close proximity, p
roteins can have long-range interactions and complicated connectivitie
s. Because of the complexity of these structures, attempts have been m
ade to apply the fractal formalism to characterize them. The emphasis
of most work to date has been on two fractal properties, the fractal d
imension of the polymer backbone and the fractal surface dimension, Fr
om a large data set, it is seen that globular proteins show similar fr
actal behavior. The fractal dimension of the backbone has values sligh
tly less than 3, indicating that proteins are collapsed polymers, Prot
eins typically have values for the fractal surface dimension in the ra
nge 2.1-2.2: this indicates a relatively smooth surface. It is seen th
at these fractal properties are more than quantitative descriptors of
gross morphology. Rather, they provide insights into the nature of the
folded state of a protein and how it interacts with its surrounding a
queous environment, Measurements of the backbone dimension reveal that
proteins behave as Hamiltonian walks, compact structures with identic
al local and global scaling laws. Such a Hamiltonian walk structure ha
s profound implications for the thermodynamics of protein folding. The
fractal surface dimension can be used in a quantitative fashion to pr
edict the kinetics of interactions of proteins with small molecules in
solution. It has been successfully applied in a predictive model of h
ydrogen isotope exchange kinetics.