Recognition Mechanism of siRNA by Viral p19 Suppressor of RNA Silencing: A Molecular Dynamics Study |
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Authors: | Zhen Xia Jun Zhu Ruhong Zhou |
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Institution: | † Institute of Bioinformatics, Zhejang University, Hangzhou 310027, People's Republic of China ‡ Computational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598 § Department of Chemistry, Columbia University, New York, New York 10027 |
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Abstract: | The p19 protein (p19) encoded from Tombusvirus is involved in various activities such as pathogenicity and virus transport. Recent studies have found that p19 is a plant suppressor of RNA silencing, which binds to short interfering RNAs (siRNAs) with high affinity. We use molecular dynamics (MD) simulations of the wild-type and mutant p19 protein (W39 and W42G) binding with a 21-nt siRNA duplex to study the p19-siRNA recognition mechanism and mutation effects. Our simulations with standard MD and steered molecular dynamics have shown that the double mutant structure is indeed much less stable than the wild-type, consistent with the recent experimental findings. Comprehensive structural analysis also shows that the W39/42G mutations first induce the loss of stacking interactions between p19 and siRNA, Trp42-Cyt1 (Cyt1 from the 5′ to 3′ strand) and Trp39-Gua′19 (Gua19 from the 3′ to 5′ strand), and then breaks the hydrophobic core formed by W39-W42 with nucleotide basepairs in the wild-type. The steered molecular dynamics simulations also show that the mutant p19 complex is “decompounded” very fast under a constant separation force, whereas the wild-type remains largely intact under the same steering force. Moreover, we have used the free energy perturbation to predict a binding affinity loss of 6.98 ± 0.95 kcal/mol for the single mutation W39G, and 12.8 ± 1.0 kcal/mol loss for the double mutation W39/42G, with the van der Waals interactions dominating the contribution (∼90%). These results indicate that the W39/42G mutations essentially destroy the important p19-siRNA recognition by breaking the strong stacking interaction between Cyt1 and Gua′19 with end-capping tryptophans. These large scale simulations might provide new insights to the interactions and co-evolution relationship between RNA virus proteins and their hosts. |
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