Cargando…
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification
BACKGROUND: The 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 conserv...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027071/ https://www.ncbi.nlm.nih.gov/pubmed/32066366 http://dx.doi.org/10.1186/s12859-020-3398-9 |
_version_ | 1783498793320185856 |
---|---|
author | Yang, Zhen Deng, Xueqing Liu, Yang Gong, Weikang Li, Chunhua |
author_facet | Yang, Zhen Deng, Xueqing Liu, Yang Gong, Weikang Li, Chunhua |
author_sort | Yang, Zhen |
collection | PubMed |
description | BACKGROUND: The 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. RESULTS: The 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. CONCLUSIONS: The 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. |
format | Online Article Text |
id | pubmed-7027071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70270712020-02-24 Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification Yang, Zhen Deng, Xueqing Liu, Yang Gong, Weikang Li, Chunhua BMC Bioinformatics Research Article BACKGROUND: The 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. RESULTS: The 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. CONCLUSIONS: The 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. BioMed Central 2020-02-17 /pmc/articles/PMC7027071/ /pubmed/32066366 http://dx.doi.org/10.1186/s12859-020-3398-9 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Yang, Zhen Deng, Xueqing Liu, Yang Gong, Weikang Li, Chunhua Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title | Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title_full | Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title_fullStr | Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title_full_unstemmed | Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title_short | Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification |
title_sort | analyses on clustering of the conserved residues at protein-rna interfaces and its application in binding site identification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027071/ https://www.ncbi.nlm.nih.gov/pubmed/32066366 http://dx.doi.org/10.1186/s12859-020-3398-9 |
work_keys_str_mv | AT yangzhen analysesonclusteringoftheconservedresiduesatproteinrnainterfacesanditsapplicationinbindingsiteidentification AT dengxueqing analysesonclusteringoftheconservedresiduesatproteinrnainterfacesanditsapplicationinbindingsiteidentification AT liuyang analysesonclusteringoftheconservedresiduesatproteinrnainterfacesanditsapplicationinbindingsiteidentification AT gongweikang analysesonclusteringoftheconservedresiduesatproteinrnainterfacesanditsapplicationinbindingsiteidentification AT lichunhua analysesonclusteringoftheconservedresiduesatproteinrnainterfacesanditsapplicationinbindingsiteidentification |