In silico study of effects of polymorphisms on biophysical chemical properties of oxidized N-terminal domain of X-ray cross-complementing group 1 protein.

Base excision repair (BER) is the major pathway involved in removal of endogenous and mutagen-induced DNA damage. The X-ray cross-complementing group 1 protein (XRCC1), which participates in BER, is a scaffolding protein. The oxidized XRCC1 N-terminal domain (NTD) forms additional interactions with DNA polymerase ß (Pol ß). Any change in the residues of a protein (XRCC1, XRCC4, etc.) may alter its stability and function. Many coding regions of genes have single nucleotide polymorphisms (SNPs) that change the conformation of their products, and they are probably involved in some diseases. The R7L and R107H mutations are located in the XRCC1-NTD. In the present study, biophysical chemical properties of oxidized XRCC1-NTD (wild type or mutants) were investigated at different temperatures (290, 295, 298, 301, 304, 309, 310, 311, and 312 K) in water using in silico molecular mechanic computational methods. Comparison of the average calculated potential energies of oxidized XRCC1-NTD reveals that the R7L mutation increases stability, but the R107H and R7L&R107H mutations are destabilizing. Therefore, mutant types of this protein (R107H or R7L&R107H) may not function correctly. Furthermore, quantitative structure-activity relationship (QSAR) of oxidized XRCC1-NTD and docking assay showed that the R7L mutation is advantageous but the R107H and R7L&R107H mutations are disadvantageous for XRCC1-NTD, and in the latter cases it cannot interact with Pol ß as well as the wild type does. Hence, DNA repair may be defective. Also, using the equation dE = ∂Ε/(∂Τ)V·dT + ∂Ε/(∂V)T·dV, it was determined that the best temperature for normal activity of oxidized XRCC1-NTD is exactly the natural body temperature (310 K).

The blind search for the closed states of hinge-bending proteins.

The hinge-bending proteins provide the most pronounced example of the large-amplitude slow motions in a number of proteins, which are critical for their functioning. They are often used as the test ground for developing novel approaches to the simulation of slow protein dynamics. In the present study, we present the algorithm, which allows physically-consistent simulations of slow protein dynamics in globular proteins. Our algorithm is based on the hierarchical clustering of the correlation patterns (HCCP) technique of domain identification, which allows subdividing the protein into the hierarchy of the rigid-body-like clusters. The clusters are allowed to rotate relative to one another on the automatically identified hinges. The clusters are found in the course of automated, objective and well-tested procedure. In the present communication, our technique is applied to 10 hinge-bending proteins. For each of the proteins, we performed the blind search for the closed conformation, staring from the open one. Resulting closed conformations are compared with the closed states observed in crystallographic structures. It is shown that our technique produces realistic closed conformations for 8 out of 10 studied proteins. This demonstrates that HCCP technique can be used for finding alternative protein conformations and for sampling the slow motions in proteins.