Evidence map›Paper›PMID 31179876›Full record

ArticleRNA biology2019

Dissecting macromolecular recognition sites in ribosome: implication to its self-assembly.

Smita P Pilla, Amal Thomas, Ranjit Prasad Bahadur

Abstract read
In one paragraph

Article in RNA biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Smita P Pillaa Computational Structural Biology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur , Kharagpur , India.
Amal Thomasa Computational Structural Biology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur , Kharagpur , India.ORCID 0000-0003-4494-4487
Ranjit Prasad Bahadura Computational Structural Biology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur , Kharagpur , India.ORCID 0000-0002-6705-1713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between macromolecules play a crucial role in ribosome assembly that follows a highly coordinated process involving RNA folding and binding of ribosomal proteins (r-proteins). Although extensive studies have been carried out to understand macromolecular interactions in ribosomes, most of them are confined to either large or small ribosomal-subunit of few species. A comparative analysis of macromolecular interactions across different domains is still missing. We have analyzed the structural and physicochemical properties of protein-protein (PP), protein-RNA (PR) and RNA-RNA (RR) interfaces in small and large subunits of ribosomes, as well as in between the two subunits. Additionally, we have also developed Random Forest (RF) classifier to catalog the r-proteins. We find significant differences as well as similarities in macromolecular recognition sites between ribosomal assemblies of prokaryotes and eukaryotes. PR interfaces are substantially larger and have more ionic interactions than PP and RR interfaces in both prokaryotes and eukaryotes. PP, PR and RR interfaces in eukaryotes are well packed compared to those in prokaryotes. However, the packing density between the large and the small subunit interfaces in the entire assembly is strikingly low in both prokaryotes and eukaryotes, indicating the periodic association and dissociation of the two subunits during the translation. The structural and physicochemical properties of PR interfaces are used to predict the r-proteins in the assembly pathway into early, intermediate and late binders using RF classifier with an accuracy of 80%. The results provide new insights into the classification of r-proteins in the assembly pathway.

Indexed as

Amino AcidsHydrogen BondingMacromolecular SubstancesNucleic Acid ConformationNucleotidesRibosomesRibosome SubunitsSaltsAmino AcidsMacromolecular SubstancesNucleotidesSaltsclassification of ribosomal proteinsmacromolecular interactionsmacromolecular interfacesRibosomal assembliesribosomal assembly pathways

Identifiers

PMID31179876
PMCPMC6693545

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.