Mechanisms of Protein Search for Targets on DNA: Theoretical Insights

Protein-DNA interactions are critical for the successful functioning of all natural systems. The key role in these interactions is played by processes of protein search for specific sites on DNA. Although it has been studied for many years, only recently microscopic aspects of these processes became...

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Bibliographic Details
Main Authors: Kochugaeva, Maria P. (Author), Kolomeisky, Anatoly B. (Author), Shvets, Alexey (Contributor), Kochugaeva, Maria (Author), Kolomeisky, Anatoly (Author)
Other Authors: Institute for Medical Engineering and Science (Contributor)
Format: Article
Language:English
Published: MDPI AG, 2018-09-26T17:32:48Z.
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Online Access:Get fulltext
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100 1 0 |a Kochugaeva, Maria P.  |e author 
100 1 0 |a Institute for Medical Engineering and Science  |e contributor 
100 1 0 |a Shvets, Alexey  |e contributor 
700 1 0 |a Kolomeisky, Anatoly B.  |e author 
700 1 0 |a Shvets, Alexey  |e author 
700 1 0 |a Kochugaeva, Maria  |e author 
700 1 0 |a Kolomeisky, Anatoly  |e author 
245 0 0 |a Mechanisms of Protein Search for Targets on DNA: Theoretical Insights 
260 |b MDPI AG,   |c 2018-09-26T17:32:48Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/118179 
520 |a Protein-DNA interactions are critical for the successful functioning of all natural systems. The key role in these interactions is played by processes of protein search for specific sites on DNA. Although it has been studied for many years, only recently microscopic aspects of these processes became more clear. In this work, we present a review on current theoretical understanding of the molecular mechanisms of the protein target search. A comprehensive discrete-state stochastic method to explain the dynamics of the protein search phenomena is introduced and explained. Our theoretical approach utilizes a first-passage analysis and it takes into account the most relevant physical-chemical processes. It is able to describe many fascinating features of the protein search, including unusually high effective association rates, high selectivity and specificity, and the robustness in the presence of crowders and sequence heterogeneity. 
520 |a National Science Foundation (U.S.) (Grant CHE-1664218) 
520 |a National Science Foundation (U.S.) (Grant PHY-1427654) 
520 |a Robert A. Welch Foundation (Grant C-1559) 
655 7 |a Article 
773 |t Molecules