X-r,ay and neutron scattering data and their constrained molecular Modeling

X-ray and neutron solution scattering methods provide multiparameter structural and compositional information on proteins that complements high-resolution protein crystallography and NMR studies. We describe the procedures required to (1) obtain validated X-ray and neutron scattering data, (2) perform Guinier analyses of the scattering data to extract the radius of gyration R-G and intensity parameters, and (3) calculate the distance distribution function P(r). Constrained modeling is important because this confirms the experimental data analysis and produces families of best-fit molecular models for comparison with crystallography and NMR structures. The modeling procedures are described in terms of (4) generating appropriate starting models, (5) randomizing these for trial-and-error scattering fits, (6) identifying the final best-fit models, and (7) applying analytical ultracentrifugation (AUC) data to validate the scattering modeling. These procedures and pitfalls in them will be illustrated using work performed in the authors' laboratory on antibodies and the complement proteins of the human immune defense system. Four different types of modeling procedures are distinguished, depending on the number and type of domains in the protein. Examples when comparisons with crystallography and NMR structures are important are described. For multidomain proteins, it is often found that scattering provides essential evidence to validate or disprove a crystal structure. If a large protein cannot be crystallized, scattering provides the only means to obtain a structure.