Evidence map›Paper›PMID 32066366›Full record

ArticleBMC bioinformatics2020

Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.

Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li

Open access · goldAbstract read
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Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Zhen YangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Xueqing DengCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Yang LiuCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Weikang GongCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Chunhua LiCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China. chunhuali@bjut.edu.cn.
Beijing University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe maintenance of protein structural stability requires the cooperativity among spatially neighboring residues. Previous studies have shown that conserved residues tend to occur clustered together within enzyme active sites and protein-protein/DNA interfaces. It is possible that conserved residues form one or more local clusters in protein tertiary structures as it can facilitate the formation of functional motifs. In this work, we systematically investigate the spatial distributions of conserved residues as well as hot spot ones within protein-RNA interfaces.

resultsThe analysis of 191 polypeptide chains from 160 complexes shows the polypeptides interacting with tRNAs evolve relatively rapidly. A statistical analysis of residues in different regions shows that the interface residues are often more conserved, while the most conserved ones are those occurring at protein interiors which maintain the stability of folded polypeptide chains. Additionally, we found that 77.8% of the interfaces have the conserved residues clustered within the entire interface regions. Appling the clustering characteristics to the identification of the real interface, there are 31.1% of cases where the real interfaces are ranked in top 10% of 1000 randomly generated surface patches. In the conserved clusters, the preferred residues are the hydrophobic (Leu, Ile, Met), aromatic (Tyr, Phe, Trp) and interestingly only one positively charged Arg residues. For the hot spot residues, 51.5% of them are situated in the conserved residue clusters, and they are largely consistent with the preferred residue types in the conserved clusters.

conclusionsThe protein-RNA interface residues are often more conserved than non-interface surface ones. The conserved interface residues occur more spatially clustered relative to the entire interface residues. The high consistence of hot spot residue types and the preferred residue types in the conserved clusters has important implications for the experimental alanine scanning mutagenesis study. This work deepens the understanding of the residual organization at protein-RNA interface and is of potential applications in the identification of binding site and hot spot residues.

Indexed as

Amino AcidsBinding SitesCluster AnalysisHydrophobic and Hydrophilic InteractionsModels, MolecularPeptidesProtein ConformationRNARNA-Binding ProteinsAmino AcidsPeptidesRNARNA-Binding ProteinsBinding site identificationClustering characteristicsConserved residuesHot spot residuesProtein-RNA interfaces

Identifiers

PMID32066366
PMCPMC7027071
OpenAlexW3012611954

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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.