Why protein R-factors are so large: a self-consistent analysis.
The R-factor and R-free are commonly used to measure the quality of protein models obtained in X-ray crystallography. Well-refined protein structures usually have R-factors in the range of 20-25%, whereas intrinsic errors in the experimental data are usually around 5%. We use molecular dynamics simulations to perform a self-consistent analysis by which we determine the major factors contributing to large values of protein R-factors. The analysis shows that significant R-factor values can arise from the use of isotropic B-factors to model anisotropic protein motions and from coordinate errors. Even in the absence of coordinate errors, the use of isotropic B-factors can cause the R-factors to be around 10%; for coordinate errors smaller than 0.2 A, the two errors types make similar contributions. The inaccuracy of the energy function used and multistate protein dynamics are unlikely to make significant contributions to the large R-factors.
Vitkup
Dennis
D
Rosenstiel Basic Medical Sciences Research Center, Brandeis University, Waltham, MA 02454-9110, USA.
Ringe
Dagmar
D
Karplus
Martin
M
Petsko
Gregory A
GA
D000818:Animals; D016880:Anisotropy; D003198:Computer Simulation; D018360:Crystallography, X-Ray / Q000379:methods*; D008962:Models, Theoretical; D009211:Myoglobin / Q000737:chemistry; D010940:Plant Proteins / Q000737:chemistry; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D015203:Reproducibility of Results
D009211:Myoglobin; D010940:Plant Proteins; D011506:Proteins; C024934:crambin protein, Crambe abyssinica