On the application of structure-specific bulk-solvent models

Structural basis of human PCNA sliding on DNA

Sliding clamps encircle DNA and tether polymerases and other factors to the genomic template. However, the molecular mechanism of clamp sliding on DNA is unknown. Using crystallography, NMR and molecular dynamics simulations, here we show that the human clamp PCNA recognizes DNA through a double patch of basic residues within the ring channel, arranged in a right-hand spiral that matches the pitch of B-DNA. We propose that PCNA slides by tracking the DNA backbone via a ‘cogwheel' mechanism based on short-lived polar interactions, which keep the orientation of the clamp invariant relative to DNA. Mutation of residues at the PCNA–DNA interface has been shown to impair the initiation of DNA synthesis by polymerase δ (pol δ). Therefore, our findings suggest that a clamp correctly oriented on DNA is necessary for the assembly of a replication-competent PCNA-pol δ holoenzyme.

DNA sliding clamps are ring-shaped proteins that encircle DNA and harbour polymerases and other factors that promote processive DNA replication. Here the authors use X-ray crystallography, NMR and MD simulations to propose a model for a PCNA sliding mechanism that relies on short-lived polar interactions.

On the variability of experimental data in macromolecular crystallography

Experimental errors as determined by data-processing algorithms in macromolecular crystallography are compared with the direct error estimates obtained by a multiple crystal data-collection protocol. It is found that several-fold error inflation is necessary to account for crystal-to-crystal variation. It is shown that similar error inflation is observed for data collected from multiple sections of the same crystal, indicating non-uniform crystal growth as one of the likely sources of additional data variation. Other potential sources of error inflation include differential X-ray absorption for different reflections and variation of unit-cell parameters. The underestimation of the experimental errors is more severe in lower resolution shells and for reflections characterized by a higher signal-to-noise ratio. These observations partially account for the gap between the expected and the observed R values in macromolecular crystallography.