ArticleInternational journal of molecular sciences2017
IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.
Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Molecular arms race classifier for decrypting venom peptide and ion channel interactions.Digital discovery · 2026Article
- GPT2-ICC: A data-driven approach for accurate ion channel identification using pre-trained large language models.Journal of pharmaceutical analysis · 2025Article
- In Silico Conotoxin Studies: Progress and Prospects.Molecules (Basel, Switzerland) · 2024Review
- Ion channel classification through machine learning and protein language model embeddings.Journal of integrative bioinformatics · 2024Article
- GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning.BMC genomics · 2023Article
- mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net.BMC bioinformatics · 2021Article
- Recent Advances in Predicting Protein S-Nitrosylation Sites.BioMed research international · 2021Review
- PSIONplusBiomolecules · 2020Article
- Endoplasmic reticulum retention signaling and transmembrane channel proteins predicted for oilseed ω3 fatty acid desaturase 3 (FAD3) genes.Functional & integrative genomics · 2020Article
- Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation.Molecular therapy. Nucleic acids · 2019Article
- Predicting Ion Channels Genes and Their Types With Machine Learning Techniques.Frontiers in genetics · 2019Article
- AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees.Computational and structural biotechnology journal · 2019Article
- Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods.Molecules (Basel, Switzerland) · 2018Article
- Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.International journal of molecular sciences · 2018Article
- PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.Scientific reports · 2018Article
- Special Protein Molecules Computational Identification.International journal of molecular sciences · 2018Article
- Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features.Frontiers in pharmacology · 2018Article
- PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions.Frontiers in immunology · 2018Article
- Identification of Antioxidant Proteins With Deep Learning From Sequence Information.Frontiers in pharmacology · 2018Article
- HBPred: a tool to identify growth hormone-binding proteins.International journal of biological sciences · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ion channels (IC) are ion-permeable protein pores located in the lipid membranes of all cells. Different ion channels have unique functions in different biological processes. Due to the rapid development of high-throughput mass spectrometry, proteomic data are rapidly accumulating and provide us an opportunity to systematically investigate and predict ion channels and their types. In this paper, we constructed a support vector machine (SVM)-based model to quickly predict ion channels and their types. By considering the residue sequence information and their physicochemical properties, a novel feature-extracted method which combined dipeptide composition with the physicochemical correlation between two residues was employed. A feature selection strategy was used to improve the performance of the model. Comparison results of in jackknife cross-validation demonstrated that our method was superior to other methods for predicting ion channels and their types. Based on the model, we built a web server called IonchanPred which can be freely accessed from http://lin.uestc.edu.cn/server/IonchanPredv2.0.
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Registered trials
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.