ArticleNucleic acids research2015
Assembly constraints drive co-evolution among ribosomal constituents.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Applications of Artificial Intelligence in Drug Repurposing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- SPARC: Structural properties associated with residue constraints.Computational and structural biotechnology journal · 2022Article
- Selection for cooperativity causes epistasis predominately between native contacts and enables epistasis-based structure reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Exploring allosteric communication in multiple states of the bacterial ribosome using residue network analysis.Turkish journal of biology = Turk biyoloji dergisi · 2018Article
- Towards integrated oncogenic marker recognition through mutual information-based statistically significant feature extraction: an association rule mining based study on cancer expression and methylation profiles.Quantitative biology (Beijing, China) · 2017Article
- Modular Organization of Residue-Level Contacts Shapes the Selection Pressure on Individual Amino Acid Sites of Ribosomal Proteins.Genome biology and evolution · 2017Article
- Sequence co-evolutionary information is a natural partner to minimally-frustrated models of biomolecular dynamics.F1000Research · 2016Review
- Deciphering Cis-Regulatory Element Mediated Combinatorial Regulation in Rice under Blast Infected Condition.PloS one · 2015Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Ribosome biogenesis, a central and essential cellular process, occurs through sequential association and mutual co-folding of protein-RNA constituents in a well-defined assembly pathway. Here, we construct a network of co-evolving nucleotide/amino acid residues within the ribosome and demonstrate that assembly constraints are strong predictors of co-evolutionary patterns. Predictors of co-evolution include a wide spectrum of structural reconstitution events, such as cooperativity phenomenon, protein-induced rRNA reconstitutions, molecular packing of different rRNA domains, protein-rRNA recognition, etc. A correlation between folding rate of small globular proteins and their topological features is known. We have introduced an analogous topological characteristic for co-evolutionary network of ribosome, which allows us to differentiate between rRNA regions subjected to rapid reconstitutions from those hindered by kinetic traps. Furthermore, co-evolutionary patterns provide a biological basis for deleterious mutation sites and further allow prediction of potential antibiotic targeting sites. Understanding assembly pathways of multicomponent macromolecules remains a key challenge in biophysics. Our study provides a 'proof of concept' that directly relates co-evolution to biophysical interactions during multicomponent assembly and suggests predictive power to identify candidates for critical functional interactions as well as for assembly-blocking antibiotic target sites.
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