ArticlePLoS computational biology2017
mRNA/protein sequence complementarity and its determinants: The impact of affinity scales.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multiscale Modeling of Protein-RNA Condensation in and Out of Equilibrium.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Widespread autogenous mRNA-protein interactions detected by CLIP-seq.Nucleic acids research · 2022Article
- Fitting the standard genetic code into its triplet table.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Combinatorial Fusion Rules to Describe Codon Assignment in the Standard Genetic Code.Life (Basel, Switzerland) · 2020Article
- First arrived, first served: competition between codons for codon-amino acid stereochemical interactions determined early genetic code assignments.Die Naturwissenschaften · 2020Article
- Frameshifting preserves key physicochemical properties of proteins.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- VOLPES: an interactive web-based tool for visualizing and comparing physicochemical properties of biological sequences.Nucleic acids research · 2019Article
- More Pieces of Ancient than Recent Theoretical Minimal Proto-tRNA-Like RNA Rings in Genes Coding for tRNA Synthetases.Journal of molecular evolution · 2019Article
- Chimeric Translation for Mitochondrial Peptides: Regular and Expanded Codons.Computational and structural biotechnology journal · 2019Article
- RNA-protein interactions in an unstructured context.FEBS letters · 2018Review
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2 authors.
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Abstract
It has recently been demonstrated that the nucleobase-density profiles of mRNA coding sequences are related in a complementary manner to the nucleobase-affinity profiles of their cognate protein sequences. Based on this, it has been proposed that cognate mRNA/protein pairs may bind in a co-aligned manner, especially if unstructured. Here, we study the dependence of mRNA/protein sequence complementarity on the properties of the nucleobase/amino-acid affinity scales used. Specifically, we sample the space of randomly generated scales by employing a Monte Carlo strategy with a fitness function that depends directly on the level of complementarity. For model organisms representing all three domains of life, we show that even short searches reproducibly converge upon highly optimized scales, implying that the topology of the underlying fitness landscape is decidedly funnel-like. Furthermore, the optimized scales, generated without any consideration of the physicochemical attributes of nucleobases or amino acids, resemble closely the nucleobase/amino-acid binding affinity scales obtained from experimental structures of RNA-protein complexes. This provides support for the claim that mRNA/protein sequence complementarity may indeed be related to binding between the two. Finally, we characterize suboptimal scales and show that intermediate-to-high complementarity can be reached by substantially diverse scales, but with select amino acids contributing disproportionally. Our results expose the dependence of cognate mRNA/protein sequence complementarity on the properties of the underlying nucleobase/amino-acid affinity scales and provide quantitative constraints that any physical scales need to satisfy for the complementarity to hold.
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