Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.

Recognition of single-stranded DNA (ssDNA) or single-stranded RNA (ssRNA) is important for many fundamental cellular functions. A variety of single-stranded DNA-binding proteins (ssDBPs) and single-stranded RNA-binding proteins (ssRBPs) have evolved that bind ssDNA and ssRNA, respectively, with vary...

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Main Authors: Arumay Pal, Yaakov Levy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-04-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC6467422?pdf=render
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spelling doaj-f8b6d23313364ba6b77bf0bae9b77f1e2020-11-25T02:12:16ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582019-04-01154e100676810.1371/journal.pcbi.1006768Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.Arumay PalYaakov LevyRecognition of single-stranded DNA (ssDNA) or single-stranded RNA (ssRNA) is important for many fundamental cellular functions. A variety of single-stranded DNA-binding proteins (ssDBPs) and single-stranded RNA-binding proteins (ssRBPs) have evolved that bind ssDNA and ssRNA, respectively, with varying degree of affinities and specificities to form complexes. Structural studies of these complexes provide key insights into their recognition mechanism. However, computational modeling of the specific recognition process and to predict the structure of the complex is challenging, primarily due to the heterogeneity of their binding energy landscape and the greater flexibility of ssDNA or ssRNA compared with double-stranded nucleic acids. Consequently, considerably fewer computational studies have explored interactions between proteins and single-stranded nucleic acids compared with protein interactions with double-stranded nucleic acids. Here, we report a newly developed energy-based coarse-grained model to predict the structure of ssDNA-ssDBP and ssRNA-ssRBP complexes and to assess their sequence-specific interactions and stabilities. We tuned two factors that can modulate specific recognition: base-aromatic stacking strength and the flexibility of the single-stranded nucleic acid. The model was successfully applied to predict the binding conformations of 12 distinct ssDBP and ssRBP structures with their cognate ssDNA and ssRNA partners having various sequences. Estimated binding energies agreed well with the corresponding experimental binding affinities. Bound conformations from the simulation showed a funnel-shaped binding energy distribution where the native-like conformations corresponded to the energy minima. The various ssDNA-protein and ssRNA-protein complexes differed in the balance of electrostatic and aromatic energies. The lower affinity of the ssRNA-ssRBP complexes compared with the ssDNA-ssDBP complexes stems from lower flexibility of ssRNA compared to ssDNA, which results in higher rate constants for the dissociation of the complex (koff) for complexes involving the former.http://europepmc.org/articles/PMC6467422?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Arumay Pal
Yaakov Levy
spellingShingle Arumay Pal
Yaakov Levy
Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
PLoS Computational Biology
author_facet Arumay Pal
Yaakov Levy
author_sort Arumay Pal
title Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
title_short Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
title_full Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
title_fullStr Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
title_full_unstemmed Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
title_sort structure, stability and specificity of the binding of ssdna and ssrna with proteins.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2019-04-01
description Recognition of single-stranded DNA (ssDNA) or single-stranded RNA (ssRNA) is important for many fundamental cellular functions. A variety of single-stranded DNA-binding proteins (ssDBPs) and single-stranded RNA-binding proteins (ssRBPs) have evolved that bind ssDNA and ssRNA, respectively, with varying degree of affinities and specificities to form complexes. Structural studies of these complexes provide key insights into their recognition mechanism. However, computational modeling of the specific recognition process and to predict the structure of the complex is challenging, primarily due to the heterogeneity of their binding energy landscape and the greater flexibility of ssDNA or ssRNA compared with double-stranded nucleic acids. Consequently, considerably fewer computational studies have explored interactions between proteins and single-stranded nucleic acids compared with protein interactions with double-stranded nucleic acids. Here, we report a newly developed energy-based coarse-grained model to predict the structure of ssDNA-ssDBP and ssRNA-ssRBP complexes and to assess their sequence-specific interactions and stabilities. We tuned two factors that can modulate specific recognition: base-aromatic stacking strength and the flexibility of the single-stranded nucleic acid. The model was successfully applied to predict the binding conformations of 12 distinct ssDBP and ssRBP structures with their cognate ssDNA and ssRNA partners having various sequences. Estimated binding energies agreed well with the corresponding experimental binding affinities. Bound conformations from the simulation showed a funnel-shaped binding energy distribution where the native-like conformations corresponded to the energy minima. The various ssDNA-protein and ssRNA-protein complexes differed in the balance of electrostatic and aromatic energies. The lower affinity of the ssRNA-ssRBP complexes compared with the ssDNA-ssDBP complexes stems from lower flexibility of ssRNA compared to ssDNA, which results in higher rate constants for the dissociation of the complex (koff) for complexes involving the former.
url http://europepmc.org/articles/PMC6467422?pdf=render
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