ArticlePLoS computational biology2019
Structure, stability and specificity of the binding of ssDNA and ssRNA with proteins.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 81 citations in OpenAlex.
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- The crystal structure of the herpes virus ICP8 protein in complex with single-stranded DNA reveals the molecular determinants of nucleotide recognition.The Journal of biological chemistry · 2026Article
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- Molecular Evolution of Paralogous Cold Shock Proteins in E. coli: A Study of Asymmetric Divergence and Protein Functional Networks.Molecular biotechnology · 2026Article
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- Bioinformatics Approaches for Understanding the Binding Affinity of Protein-Nucleic Acid Complexes.Methods in molecular biology (Clifton, N.J.) · 2025Article
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- An Electrochemical Nucleic Acid Biosensor for Triple-Negative Breast Cancer Biomarker Detection.Sensors (Basel, Switzerland) · 2024Article
- HIPPO: HIstogram-based Pseudo-POtential for scoring protein-ssRNA fragment-based docking poses.BMC bioinformatics · 2024Article
- Rapid Long-distance Migration of RPA on Single Stranded DNA Occurs Through Intersegmental Transfer Utilizing Multivalent Interactions.Journal of molecular biology · 2024Article
- Single molecule technique unveils the role of electrostatic interactions in ssDNA-gp32 molecular complex stability.RSC advances · 2024Article
- Heterogeneity in Neutrophil Extracellular Traps from Healthy Human Subjects.International journal of molecular sciences · 2023Article
- Heterogeneity in Neutrophil Extracellular Traps from Healthy Human Subjects.bioRxiv : the preprint server for biology · 2023Article
- β-Sitosterol could serve as a dual inhibitor of Trypanosoma congolense sialidase and phospholipase AMolecular diversity · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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