We describe a procedure for a space-time description of protein structures.
The method is capable of determining populations of conformational substat
es, and amplitudes and directions of internal protein motions, This is achi
eved by fitting static and dynamic NMR data, The approach is based on the j
umping-among-minima concept, First, a wide conformational space compatible
with structural NMR data is sampled to find a large set of substates, Subse
quently, intrasubstate motions are sampled by using molecular dynamics calc
ulations with force field energy terms, Next, the populations of substates
are fitted to NMR relaxation data. By diagonalizing a second moment matrix,
directions and amplitudes of motions are identified, The method was applie
d to the adhesion domain of human CD2. We found that very few substates can
account for most of the experimental data. Furthermore, only two types of
collective motions have high amplitudes. They represent transitions between
a concave (closed) and flat (open) binding face and resemble the change up
on counter-receptor (CD58) binding.