Search

A way of modulating the solid-state electron transport (ETp) properties of oligopeptide junctions is presented by charges and internal hydrogen bonding, which affect this process markedly.

Intersegmental transfer that involves direct relocation of a DNA-binding protein from one nonspecific DNA site to another was previously shown to contribute to speeding up the identification of the DNA target site. This mechanism is promoted when the protein is composed of at least two domains that have different DNA binding affinities and thus show a degree of mobility. In this study, we investigate the effect of particle crowding on the ability of a multi-domain protein to perform intersegmental transfer. We show that although crowding conditions often favor 1D diffusion of proteins along DNA over 3D diffusion, relocation of one of the tethered domains to initiate intersegmental transfer is possible even under crowding conditions. The tendency to perform intersegmental transfer by a multi-domain protein under crowding conditions is much higher for larger crowding particles than smaller ones and can be even greater than under no-crowding conditions. We report that the asymmetry of the two domains is even magnified by the crowders. The observations that crowding supports intersegmental transfer serve as another example that in vivo complexity does not necessarily slow down DNA search kinetics by proteins.

In prokaryotes, the RecA protein catalyzes the repair and strand exchange of double-stranded DNA. RecA binds to single-stranded DNA (ssDNA) and forms a presynaptic complex in which the protein polymerizes around the ssDNA to form a right-handed helical nucleoprotein filament structure. In the present work, the mechanism for the formation of the RecA-ssDNA filament structure is modeled using coarse-grained molecular dynamics simulations. Information from the X-ray structure was used to model the protein itself but not its interactions; the interactions between the protein and the ssDNA were modeled solely by electrostatic, aromatic, and repulsive energies. For the present study, the monomeric, dimeric, and trimeric units of RecA and 4, 8, and 11 NT-long ssDNA, respectively, were studied. Our results indicate that monomeric RecA is not sufficient for nucleoprotein filament formation; rather, dimeric RecA is the elementary binding unit, with higher multimeric units of RecA facilitating filament formation. Our results reveal that loop region flexibility at the primary binding site of RecA is essential for it to bind the incoming ssDNA, that the aromatic residues present in the loop region play an important role in ssDNA binding, and that ATP may play a role in guiding the ssDNA by changing the electrostatic potential of the RecA protein.

Intrinsically disordered regions, terminal tails, and flexible linkers are abundant in DNA-binding proteins and play a crucial role by increasing the affinity and specificity of DNA binding. Disordered tails often undergo a disorder-to-order transition during interactions with DNA and improve both the kinetics and thermodynamics of specific DNA binding. The DNA search by proteins that interact nonspecifically with DNA can be supported by disordered tails as well. The disordered tail may increase the overall protein-DNA interface and thus increase the affinity of the protein to the DNA and its sliding propensity while slowing linear diffusion. The exact effect of the disordered tails on the sliding rate depends on the degree of positive charge clustering, as has been shown for homeodomains and p53 transcription factors. The disordered tails, which may be viewed as DNA recognizing subdomains, can facilitate intersegment transfer events that occur via a "monkey bar" mechanism in which the domains bridge two different DNA fragments simultaneously. The "monkey bar" mechanism can be facilitated by internal disordered linkers in multidomain proteins that mediate the cross-talks between the constituent domains and especially their brachiation dynamics and thus their overall capability to search DNA efficiently. The residue sequence of the disordered tails has unique characteristics that were evolutionarily selected to achieve the optimized function that is unique to each protein. Perturbation of the electrostatic characteristics of the disordered tails by post-translational modifications, such as acetylation and phosphorylation, may affect protein affinity to DNA and therefore can serve to regulate DNA recognition. Modifying the disordered protein tails or the flexibility of the inter-domain linkers of multidomain proteins may affect the cross-talk between the constituent domains so as to facilitate the search kinetics of non-specific DNA sequences and increase affinity to the specific sequences.

We explored the eigenvalue spectra of the kinetic matrix which defines the master equation for the complex kinetics of the analogous polypeptides (linear Ala6, cyclic Ala6, and charged Ala6). For each system we obtained the entire eigenvalue spectrum as well as the histograms of the weighted eigenvalue spectra, where each relaxation mode is weighted by the overlap between the initial probability vector and the corresponding eigenvector. It was found that the spectra of the weighted eigenvalues were significantly filtered in comparison to those of the unweighted eigenvalues, indicating that the decay is described by a small number of eigenvalues. The important eigenvalues which are extracted from the weighted eigenvalues spectra are in good agreement with the characteristic lifetimes for the kinetics of each system, as found by the fitting of the energy relaxation temporal profiles to multiexponential functions. Moreover, a partial correlation is found between the relative heights of the contributions of the important eigenvalues and the preexponential factors obtained by the fitting. In addition, we applied the spectra of the weighted eigenvalues to study the effect of the initial population distribution on the dynamics and also to infer which minima provide the dominant contributions to a specific relaxation mode. From the latter results one can infer whether the multiexponential relaxations represent sequential or parallel processes. This analysis establishes the interrelationship between the topography and topology of the energy landscapes and the hierarchy of the relaxation channels.