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- W4377233088 abstract "Recent advances in coarse-grained (CG) computational models for DNA have enabled molecular- level insights into the behavior of DNA in complex multiscale systems. However, most existing CG DNA models are not compatible with CG protein models, limiting their applications for emerging topics such as protein-nucleic acid assemblies. Here, we present a new computationally efficient CG DNA model. We first use experimental data to establish the model's ability to predict various aspects of DNA behavior, including melting thermodynamics and relevant local structural properties such as the major and minor grooves. We then employ an all-atom hydropathy scale to define non-bonded interactions between protein and DNA sites, to make our DNA model compatible with an existing CG protein model (HPS-Urry), that is extensively used to study protein phase separation, and show that our new model reasonably reproduces the experimental binding affinity for a prototypical protein-DNA system. To further demonstrate the capabilities of this new model, we simulate a full nucleosome with and without histone tails, on a microsecond timescale, generating conformational ensembles and provide molecular insights into the role of histone tails in influencing the liquid-liquid phase separation (LLPS) of HP1α proteins. We find that histone tails interact favorably with DNA, influencing the conformational ensemble of the DNA and antagonizing the contacts between HP1α and DNA, thus affecting the ability of DNA to promote LLPS of HP1α. These findings shed light on the complex molecular framework that fine-tunes the phase transition properties of heterochromatin proteins and contributes to heterochromatin regulation and function. Overall, the CG DNA model presented here is suitable to facilitate micron-scale studies with sub-nm resolution in many biological and engineering applications and can be used to investigate protein-DNA complexes, such as nucleosomes, or LLPS of proteins with DNA, enabling a mechanistic understanding of how molecular information may be propagated at the genome level." @default.
- W4377233088 created "2023-05-23" @default.
- W4377233088 creator A5021660934 @default.
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- W4377233088 date "2023-05-22" @default.
- W4377233088 modified "2023-10-14" @default.
- W4377233088 title "A coarse-grained DNA model to study protein-DNA interactions and liquid-liquid phase separation" @default.
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- W4377233088 cites W1986302333 @default.
- W4377233088 cites W1989274272 @default.
- W4377233088 cites W1997043642 @default.
- W4377233088 cites W2000129456 @default.
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- W4377233088 cites W2017635466 @default.
- W4377233088 cites W2018783142 @default.
- W4377233088 cites W2019465613 @default.
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- W4377233088 cites W2027933092 @default.
- W4377233088 cites W2028838525 @default.
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- W4377233088 cites W2040809566 @default.
- W4377233088 cites W2045533286 @default.
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- W4377233088 cites W2080908932 @default.
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- W4377233088 cites W2082406255 @default.
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- W4377233088 cites W2303393194 @default.
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- W4377233088 cites W2948526042 @default.
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- W4377233088 doi "https://doi.org/10.1101/2023.05.19.541513" @default.
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