Cargando…

Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation

BACKGROUND: Scorpion toxins are invaluable tools for ion channel research and are potential drugs for human channelopathies. However, it is still an open task to determine the molecular basis underlying the diverse interactions between toxin peptides and ion channels. The inhibitory peptide Maurotox...

Descripción completa

Detalles Bibliográficos
Autores principales: Yi, Hong, Qiu, Su, Wu, Yingliang, Li, Wenxin, Wang, Baoshan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041654/
https://www.ncbi.nlm.nih.gov/pubmed/21262000
http://dx.doi.org/10.1186/1472-6807-11-3
_version_ 1782198455359242240
author Yi, Hong
Qiu, Su
Wu, Yingliang
Li, Wenxin
Wang, Baoshan
author_facet Yi, Hong
Qiu, Su
Wu, Yingliang
Li, Wenxin
Wang, Baoshan
author_sort Yi, Hong
collection PubMed
description BACKGROUND: Scorpion toxins are invaluable tools for ion channel research and are potential drugs for human channelopathies. However, it is still an open task to determine the molecular basis underlying the diverse interactions between toxin peptides and ion channels. The inhibitory peptide Maurotoxin (MTX) recognized the distantly related IK(Ca )and Kv1.2 channel with approximately the same potency and using the same functional residues, their differential binding mechanism remain elusive. In this study, we applied computational methods to explore the differential binding modes of MTX to Kv1.2 and IK(Ca )channels, which would help to understand the diversity of channel-toxin interactions and accelerate the toxin-based drug design. RESULTS: A reasonably stable MTX-IK(Ca )complex was obtained by combining various computational methods and by in-depth comparison with the previous model of the MTX-Kv1.2 complex. Similarly, MTX adopted the β-sheet structure as the interacting surface for binding both channels, with Lys23 occluding the pore. In contrast, the other critical residues Lys27, Lys30, and Tyr32 of MTX adopted distinct interactions when associating with the IK(Ca )channel. In addition, the residues Gln229, Ala230, Ala233, and Thr234 on the IK(Ca )channel turret formed polar and non-polar interactions with MTX, whereas the turret of Kv1.2 was almost not involved in recognizing MTX. In all, the pairs of interacting residues on MTX and the IK(Ca )channel of the bound complex indicated that electrostatic and Van der Waal interactions contributed equally to the formation of a stable MTX-IK(Ca )complex, in contrast to the MTX-Kv1.2 binding that is dominantly mediated by electrostatic forces. CONCLUSIONS: Despite sharing similar pharmacological profiles toward both IK(Ca )and Kv1.2 channels, MTX adopted totally diverging modes in the two association processes. All the molecular information unveiled here could not only offer a better understanding about the structural differences between the IK(Ca )and Kv1.2 channels, but also provide novel structural clews that will help in the designing of more selective molecular probes to discriminate between these two channels.
format Text
id pubmed-3041654
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-30416542011-02-24 Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation Yi, Hong Qiu, Su Wu, Yingliang Li, Wenxin Wang, Baoshan BMC Struct Biol Research Article BACKGROUND: Scorpion toxins are invaluable tools for ion channel research and are potential drugs for human channelopathies. However, it is still an open task to determine the molecular basis underlying the diverse interactions between toxin peptides and ion channels. The inhibitory peptide Maurotoxin (MTX) recognized the distantly related IK(Ca )and Kv1.2 channel with approximately the same potency and using the same functional residues, their differential binding mechanism remain elusive. In this study, we applied computational methods to explore the differential binding modes of MTX to Kv1.2 and IK(Ca )channels, which would help to understand the diversity of channel-toxin interactions and accelerate the toxin-based drug design. RESULTS: A reasonably stable MTX-IK(Ca )complex was obtained by combining various computational methods and by in-depth comparison with the previous model of the MTX-Kv1.2 complex. Similarly, MTX adopted the β-sheet structure as the interacting surface for binding both channels, with Lys23 occluding the pore. In contrast, the other critical residues Lys27, Lys30, and Tyr32 of MTX adopted distinct interactions when associating with the IK(Ca )channel. In addition, the residues Gln229, Ala230, Ala233, and Thr234 on the IK(Ca )channel turret formed polar and non-polar interactions with MTX, whereas the turret of Kv1.2 was almost not involved in recognizing MTX. In all, the pairs of interacting residues on MTX and the IK(Ca )channel of the bound complex indicated that electrostatic and Van der Waal interactions contributed equally to the formation of a stable MTX-IK(Ca )complex, in contrast to the MTX-Kv1.2 binding that is dominantly mediated by electrostatic forces. CONCLUSIONS: Despite sharing similar pharmacological profiles toward both IK(Ca )and Kv1.2 channels, MTX adopted totally diverging modes in the two association processes. All the molecular information unveiled here could not only offer a better understanding about the structural differences between the IK(Ca )and Kv1.2 channels, but also provide novel structural clews that will help in the designing of more selective molecular probes to discriminate between these two channels. BioMed Central 2011-01-25 /pmc/articles/PMC3041654/ /pubmed/21262000 http://dx.doi.org/10.1186/1472-6807-11-3 Text en Copyright ©2011 Yi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yi, Hong
Qiu, Su
Wu, Yingliang
Li, Wenxin
Wang, Baoshan
Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title_full Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title_fullStr Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title_full_unstemmed Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title_short Differential molecular information of maurotoxin peptide recognizing IK(Ca )and Kv1.2 channels explored by computational simulation
title_sort differential molecular information of maurotoxin peptide recognizing ik(ca )and kv1.2 channels explored by computational simulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041654/
https://www.ncbi.nlm.nih.gov/pubmed/21262000
http://dx.doi.org/10.1186/1472-6807-11-3
work_keys_str_mv AT yihong differentialmolecularinformationofmaurotoxinpeptiderecognizingikcaandkv12channelsexploredbycomputationalsimulation
AT qiusu differentialmolecularinformationofmaurotoxinpeptiderecognizingikcaandkv12channelsexploredbycomputationalsimulation
AT wuyingliang differentialmolecularinformationofmaurotoxinpeptiderecognizingikcaandkv12channelsexploredbycomputationalsimulation
AT liwenxin differentialmolecularinformationofmaurotoxinpeptiderecognizingikcaandkv12channelsexploredbycomputationalsimulation
AT wangbaoshan differentialmolecularinformationofmaurotoxinpeptiderecognizingikcaandkv12channelsexploredbycomputationalsimulation