IonchanPred statistics

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Citations per year

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Associated diseases

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IonchanPred specifications


Unique identifier OMICS_07213
Name IonchanPred
Alternative name lonchanPred2
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes


  • person_outline Hao Lin <>
  • person_outline Wei Chen <>
  • person_outline Hua Tang <>

Publications for IonchanPred

IonchanPred in publications

PMCID: 5855758
PMID: 29439426
DOI: 10.3390/ijms19020536

[…] distinguishing between voltage-gated ion channel and ligand-gated ion channels and 92.6% for four types of voltage-gated ion channels, respectively. based on the proposed models, a web server called ionchanpred 2.0 ( was established. the free predictor will be most useful to most wet-experimental scholars. a few groups have focused on the outer […]

PMCID: 4415473
PMID: 25961077
DOI: 10.1155/2015/945927

[…] technique which can improve the predictive accuracy by excluding noise and redundant parameters. based on this proposed method, an effective tool for predicting ion channels and their types, called ionchanpred, was constructed and can be freely downloaded from by using the ionchanpred, the kcma1 can be correctly identified, […]

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IonchanPred institution(s)
Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China; Development and Planning Department, Inner Mongolia University, Hohhot, China; Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, China; Department of Pathophysiology, Southwest Medical University, Luzhou, China
IonchanPred funding source(s)
Supported by the Applied Basic Research Program of Sichuan Province (No. 2015JY0100 and 14JC0121), the Fundamental Research Funds for the Central Universities of China (Nos. ZYGX2015J144; ZYGX2015Z006; ZYGX2016J118; ZYGX2016J125; ZYGX2016J126), Program for the Top Young Innovative Talents of Higher Learning Institutions of Hebei Province (No. BJ2014028), the Outstanding Youth Foundation of North China University of Science and Technology (No. JP201502), China Postdoctoral Science Foundation (No.2015M582533), and the Scientific Research Foundation of the Education Department of Sichuan Province (11ZB122).

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