We describe a procedure for a space-time description of protein structures. The method is capable of determining populations of conformational substates, and amplitudes and directions of internal protein motions. This is achieved by fitting static and dynamic NMR data. The approach is based on the jumping-among-minima concept. First, a wide conformational space compatible with structural NMR data is sampled to find a large set of substates. Subsequently, intrasubstate motions are sampled by using molecular dynamics calculations 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 applied to the adhesion domain of human CD2. We found that very few substates can account for most of the experimental data. as defined by the model free approach of Lipari and Szabo (5). Ulyanov et al. (6) considered multiple substates in the PARSE (probability assessment via relaxation rates of a structural ensemble) procedure. They attempted to reproduce two-dimensional nuclear Overhauser data by assuming multiple conformers, and probabilities of conformers were determined. Nilges and coworkers (7,8) have studied protein motions with principle component analysis and observed that relatively few concerted motions can explain the relaxation properties the proteins studied.Here we describe our attempts to make a more complete use of dynamic data and to develop a strategy for obtaining a space-time description of protein structures by fitting both structural nuclear Overhauser constraints and dynamic 15 N relaxation data. The goal was to obtain the coordinates of the most populated conformational states and the amplitudes and directions of the dominant internal motions. We assume that dynamic protein structures can be described by a distribution of conformational substates, and motions within and between the substates. Intrasubstate motions are fast and can be simulated reasonably well with molecular dynamics (MD) approaches. Intersubstate motions are much slower and not readily accessible to MD calculations. However, they represent the dominant motions with the largest amplitudes. Therefore, we based our analysis on the jumping-among-minima (JAM) concept (9). Intrasubstate motions are simulated with MD calculations using common force fields, and intersubstate motions are simulated with a procedure that averages the contributions of all the substates. The weights (populations) of the substates that reproduce best the experimental data are fitted to the experimental dynamics data. With this achieved, a second-moment matrix for the deviations of the coordinates from the average positions is defined. The matrix is diagonalized, and eigenvalues and eigenvectors define the amplitudes and directions of internal collective motions (JAM modes).We apply this approach to the adhesion domain of human CD2 (hCD2), a transmembrane glycoprotein found on T lymphocytes and natural killer cells (10)...