Cargando…
Identification and classification of small molecule kinases: insights into substrate recognition and specificity
BACKGROUND: Many prokaryotic kinases that phosphorylate small molecule substrates, such as antibiotics, lipids and sugars, are evolutionarily related to Eukaryotic Protein Kinases (EPKs). These Eukaryotic-Like Kinases (ELKs) share the same overall structural fold as EPKs, but differ in their modes o...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702295/ https://www.ncbi.nlm.nih.gov/pubmed/26738562 http://dx.doi.org/10.1186/s12862-015-0576-x |
_version_ | 1782408612224696320 |
---|---|
author | Oruganty, Krishnadev Talevich, Eric E. Neuwald, Andrew F. Kannan, Natarajan |
author_facet | Oruganty, Krishnadev Talevich, Eric E. Neuwald, Andrew F. Kannan, Natarajan |
author_sort | Oruganty, Krishnadev |
collection | PubMed |
description | BACKGROUND: Many prokaryotic kinases that phosphorylate small molecule substrates, such as antibiotics, lipids and sugars, are evolutionarily related to Eukaryotic Protein Kinases (EPKs). These Eukaryotic-Like Kinases (ELKs) share the same overall structural fold as EPKs, but differ in their modes of regulation, substrate recognition and specificity—the sequence and structural determinants of which are poorly understood. RESULTS: To better understand the basis for ELK specificity, we applied a Bayesian classification procedure designed to identify sequence determinants responsible for functional divergence. This reveals that a large and diverse family of aminoglycoside kinases, characterized members of which are involved in antibiotic resistance, fall into major sub-groups based on differences in putative substrate recognition motifs. Aminoglycoside kinase substrate specificity follows simple rules of alternating hydroxyl and amino groups that is strongly correlated with variations at the DFG + 1 position. CONCLUSIONS: Substrate specificity determining features in small molecule kinases are mostly confined to the catalytic core and can be identified based on quantitative sequence and crystal structure comparisons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-015-0576-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4702295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47022952016-01-07 Identification and classification of small molecule kinases: insights into substrate recognition and specificity Oruganty, Krishnadev Talevich, Eric E. Neuwald, Andrew F. Kannan, Natarajan BMC Evol Biol Research Article BACKGROUND: Many prokaryotic kinases that phosphorylate small molecule substrates, such as antibiotics, lipids and sugars, are evolutionarily related to Eukaryotic Protein Kinases (EPKs). These Eukaryotic-Like Kinases (ELKs) share the same overall structural fold as EPKs, but differ in their modes of regulation, substrate recognition and specificity—the sequence and structural determinants of which are poorly understood. RESULTS: To better understand the basis for ELK specificity, we applied a Bayesian classification procedure designed to identify sequence determinants responsible for functional divergence. This reveals that a large and diverse family of aminoglycoside kinases, characterized members of which are involved in antibiotic resistance, fall into major sub-groups based on differences in putative substrate recognition motifs. Aminoglycoside kinase substrate specificity follows simple rules of alternating hydroxyl and amino groups that is strongly correlated with variations at the DFG + 1 position. CONCLUSIONS: Substrate specificity determining features in small molecule kinases are mostly confined to the catalytic core and can be identified based on quantitative sequence and crystal structure comparisons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-015-0576-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-06 /pmc/articles/PMC4702295/ /pubmed/26738562 http://dx.doi.org/10.1186/s12862-015-0576-x Text en © Oruganty et al. 2016 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 Oruganty, Krishnadev Talevich, Eric E. Neuwald, Andrew F. Kannan, Natarajan Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title | Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title_full | Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title_fullStr | Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title_full_unstemmed | Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title_short | Identification and classification of small molecule kinases: insights into substrate recognition and specificity |
title_sort | identification and classification of small molecule kinases: insights into substrate recognition and specificity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702295/ https://www.ncbi.nlm.nih.gov/pubmed/26738562 http://dx.doi.org/10.1186/s12862-015-0576-x |
work_keys_str_mv | AT orugantykrishnadev identificationandclassificationofsmallmoleculekinasesinsightsintosubstraterecognitionandspecificity AT talevicherice identificationandclassificationofsmallmoleculekinasesinsightsintosubstraterecognitionandspecificity AT neuwaldandrewf identificationandclassificationofsmallmoleculekinasesinsightsintosubstraterecognitionandspecificity AT kannannatarajan identificationandclassificationofsmallmoleculekinasesinsightsintosubstraterecognitionandspecificity |