Microscopic Factors that Control β-Sheet Registry in Amyloid Fibrils Formed by Fragment 11-25 of Amyloid β Peptide: Insights from Computer Simulations

Short fragments of amyloidogenic proteins are widely used as model systems in studies of amyloid formation. Fragment 11-25 of the amyloid β protein involved in Alzheimer's disease (Aβ11-25) was recently shown to form amyloid fibrils composed of anti-parallel β-sheets. Interestingly, fibrils grown under neutral and acidic conditions were seen to possess different registries of their inter-β-strand hydrogen bonds. In an effort to explain the microscopic origin of this pH dependence, we studied Aβ11-25 fibrils using methods of theoretical modeling. Several structural models were built for fibrils at low and neutral pH levels and these were examined in short molecular dynamics simulations in explicit water. The models that displayed the lowest free energy, as estimated using an implicit solvent model, were selected as representative of the true fibrillar structure. It was shown that the registry of these models agrees well with the experimental results. At neutral pH, the main contribution to the free energy difference between the two registries comes from the electrostatic interactions. The charge group of the carboxy terminus makes a large contribution to these interactions and thus appears to have a critical role in determining the registry.     

Insights into protein - DNA interactions, stability and allosteric communications: a computational study of mutSα-DNA recognition complexes

DNA mismatch repair proteins (MMR) maintain genetic stability by recognizing and repairing mismatched bases and insertion/deletion loops mistakenly incorporated during DNA replication, and initiate cellular response to certain types of DNA damage. Loss of MMR in mammalian cells has been linked to resistance to certain DNA damaging chemotherapeutic agents, as well as to increase risk of cancer. Mismatch repair pathway is considered to involve the concerted action of at least 20 proteins. The most abundant MMR mismatch-binding factor in eukaryotes, MutSα, recognizes and initiates the repair of base-base mismatches and small insertion/deletion. We performed molecular dynamics simulations on mismatched and damaged MutSα-DNA complexes. A comprehensive DNA binding site analysis of relevant conformations shows that MutSα proteins recognize the mismatched and platinum cross-linked DNA substrates in significantly different modes. Distinctive conformational changes associated with MutSα binding to mismatched and damaged DNA have been identified and they provide insight into the involvement of MMR proteins in DNA-repair and DNA-damage pathways. Stability and allosteric interactions at the heterodimer interface associated with the mismatch and damage recognition step allow for prediction of key residues in MMR cancer-causing mutations. A rigorous hydrogen bonding analysis for ADP molecules at the ATPase binding sites is also presented. Due to extended number of known MMR cancer causing mutations among the residues proved to make specific contacts with ADP molecules, recommendations for further studies on similar mutagenic effects were made.     

212 Shifting interfaces: changes in protein–protein and protein–DNA interfaces probed via molecular dynamics

Over the past decade, there has been a growing interest in studying the binding of DNA to the MutSalpha protein complex. This heterodimeric protein complex, the Msh2/Msh6 complex in humans, is the initial complex that binds mismatched DNA and other DNA defects that occur during replication. This complex has also been shown to bind at least some types of damaged DNA, such as the cross-linked adducts due to the chemotherapeutics cisplatin and carboplatin, or the incorporation of the chemotherapeutic, FdU. As a result of this interest, multiple studies have contrasted the interactions of MutSalpha with its normal mismatched substrate and with the interactions of MutsSalpha with the DNA damaged by chemotherapeutic cisplatin. To complement these studies, we examine the interaction between MutSalpha and the DNA damaged by carboplatin via all-atom molecular dynamics simulations. These simulations provide evidence for subtle changes in the protein–DNA and protein–protein interfaces. The interfaces shifts found are broadly similar to those found in binding with adduct from cis-platin, but have distinct differences. These subtle differences may play a role in the way of the different damages and mismatched DNA are signaled by MutSalpha, and suggest a signaling mechanism for DNA damage that chiefly involves shifts in protein–protein interactions as opposed to changes in protein conformation.     

The molecular origin of the MMR-dependent apoptosis pathway from dynamics analysis of MutSα-DNA complexes

The cellular response to DNA damage signaling by mismatch-repair (MMR) proteins is incompletely understood. It is generally accepted that MMR-dependent apoptosis pathway in response to DNA damage detection is independent of MMR's DNA repair function. In this study, we investigate correlated motions in response to the binding of mismatched and platinum cross-linked DNA fragments by MutSα, as derived from 50 ns molecular dynamics simulations. The protein dynamics in response to the mismatched and damaged DNA recognition suggests that MutSα signals their recognition through independent pathways providing evidence for the molecular origin of the MMR-dependent apoptosis. MSH2 subunit is indicated to play a key role in signaling both mismatched and damaged DNA recognition; localized and collective motions within the protein allow identifying sites on the MSH2 surface possible involved in recruiting proteins responsible for downstream events. Unlike in the mismatch complex, predicted key communication sites specific for the damage recognition are on the list of known cancer-causing mutations or deletions. This confirms MSH2's role in signaling DNA damage-induced apoptosis and suggests that defects in MMR alone is sufficient to trigger tumorigenesis, supporting the experimental evidence that MMR-damage response function could protect from the early occurrence of tumors. Identifying these particular communication sites may have implications for the treatment of cancers that are not defective for MMR, but are unable to function optimally for MMR-dependent responses following DNA damage such as the case of resistance to cisplatin.     

Destabilization of the MutSα’s protein-protein interface due to binding to the DNA adduct induced by anticancer agent carboplatin via molecular dynamics simulations

DNA mismatch repair (MMR) proteins maintain genetic integrity in all organisms by recognizing and repairing DNA errors. Such alteration of hereditary information can lead to various diseases, including cancer. Besides their role in DNA repair, MMR proteins detect and initiate cellular responses to certain type of DNA damage. Its response to the damaged DNA has made the human MMR pathway a useful target for anticancer agents such as carboplatin. This study indicates that strong, specific interactions at the interface of MutSα in response to the mismatched DNA recognition are replaced by weak, non-specific interactions in response to the damaged DNA recognition. Data suggest a severe impairment of the dimerization of MutSα in response to the damaged DNA recognition. While the core of MutSα is preserved in response to the damaged DNA recognition, the loss of contact surface and the rearrangement of contacts at the protein interface suggest a different packing in response to the damaged DNA recognition. Coupled in response to the mismatched DNA recognition, interaction energies, hydrogen bonds, salt bridges, and solvent accessible surface areas at the interface of MutSα and within the subunits are uncoupled or asynchronously coupled in response to the damaged DNA recognition. These pieces of evidence suggest that the loss of a synchronous mode of response in the MutSα’s surveillance for DNA errors would possibly be one of the mechanism(s) of signaling the MMR-dependent programed cell death much wanted in anticancer therapies. The analysis was drawn from dynamics simulations.