Facilitated search of proteins on DNA: correlations are important
Literature Information
Rahul K. Das, Anatoly B. Kolomeisky
A starting point of many biological processes is protein binding to specific regions on DNA. Although typical concentrations of DNA-binding proteins are low, and target sites are typically buried among huge number of non-specific sites, the search process is frequently achieved at a remarkably fast rate. For some proteins it has been confirmed that association rates might be even larger than the maximal allowed three-dimensional diffusion rates. The current theoretical view of this phenomenon is based on the idea of lowering dimensionality, i.e., the overall search process is viewed as a combination of uncorrelated three-dimensional excursions in the solution and one-dimensional hoppings on DNA. However, some predictions of this theoretical picture contradict recent single-molecule measurements of protein diffusion processes. An alternative theoretical approach points out the importance of correlations during the search process that appear due to non-specific interactions between protein and DNA molecules. To test different theoretical ideas we performed extensive lattice Monte Carlo computer simulations of the facilitated diffusion. Our results revealed that correlations are important, and the acceleration in the search could only be achieved at some intermediate non-specific binding energies and protein concentrations. Physico-chemical aspects and the origins of these correlations are discussed.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














