Protein–DNA binding specificity: a grid-enabled computational approach applied to single and multiple proteinassemblies
文献信息
Krystyna Zakrzewska, Benjamin Bouvier, Alexis Michon, Christophe Blanchet, Richard Lavery
We use a physics-based approach termed ADAPT to analyse the sequence-specific interactions of three proteins which bind to DNA on the side of the minor groove. The analysis is able to estimate the binding energy for all potential sequences, overcoming the combinatorial problem via a divide-and-conquer approach which breaks the protein–DNA interface down into a series of overlapping oligomeric fragments. All possible base sequences are studied for each fragment. Energy minimisation with an all-atom representation and a conventional force field allows for conformational adaptation of the DNA and of the protein side chains for each new sequence. As a result, the analysis depends linearly on the length of the binding site and complexes as large as the nucleosome can be treated, although this requires access to grid computing facilities. The results on the three complexes studied are in good agreement with experiment. Although they all involve significant DNA deformation, it is found that this does not necessarily imply that the recognition will be dominated by the sequence-dependent mechanical properties of DNA.
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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.













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