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Prediction of Ion Channel Activity Using Binary Kernel Discrimination

https://doi.org/10.1021/ci700087v
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Virtual Screening: An Alternative or Complement to High Throughput Screening?
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An Introduction To Chemoinformatics
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Evaluation of machine-learning methods for ligand-based virtual screening
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Neuronal voltage-gated sodium channel subtypes: Key roles in inflammatory and neuropathic pain
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The role of voltage-gated calcium channels in pain and nociception
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K+ channels as targets for specific immunomodulation
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Involvement of Na+ channels in pain pathways
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Structural Basis of Inward Rectifying Potassium Channel Gating
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Scavenger Receptors that Recognize Advanced Glycation End Products
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Virtual screening and fast automated docking methods
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Genome annotation techniques: new approaches and challenges
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Why do we need so many chemical similarity search methods?
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Strategies to identify ion channel modulators: current and novel approaches to target neuropathic pain
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Prediction of Biological Activity for High-Throughput Screening Using Binary Kernel Discrimination
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Comparison of Ranking Methods for Virtual Screening in Lead-Discovery Programs
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Comparison of Fingerprint-Based Methods for Virtual Screening Using Multiple Bioactive Reference Structures
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The Discovery of Kv1.5 Blockers as a Case Study for the Application of Virtual Screening Approaches
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Virtual Screening Using Binary Kernel Discrimination: Analysis of Pesticide Data
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Virtual Screening Using Binary Kernel Discrimination: Effect of Noisy Training Data and the Optimization of Performance
inferredcites →https://doi.org/10.1021/ci9800211openalex-snapshot
Chemical Similarity Searching
inferredcites →https://doi.org/10.1021/jm000155hopenalex-snapshot
Medicinal Chemistry of Neuronal Voltage-Gated Sodium Channel Blockers
inferredcites →https://doi.org/10.1021/jm060379lopenalex-snapshot
Medicinal Chemistry of hERG Optimizations: Highlights and Hang-Ups
inferredcites →https://doi.org/10.1038/13415openalex-snapshot
Ion channels: From idea to reality
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Innovative approaches to anti-arrhythmic drug therapy
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The distribution and targeting of neuronal voltage-gated ion channels
inferredcites →https://doi.org/10.1093/biomet/63.3.413openalex-snapshot
Multivariate Binary Discrimination by the Kernel Method
inferredcites →https://doi.org/10.1113/jphysiol.2005.088377openalex-snapshot
Gating of TRP channels: a voltage connection?
inferredcites →https://doi.org/10.1124/mol.105.011668openalex-snapshot
Structural Basis for Competition between Drug Binding and Kvβ1.3 Accessory Subunit-Induced N-Type Inactivation of Kv1.5 Channels
inferredcites →https://doi.org/10.1126/science.1116269openalex-snapshot
Crystal Structure of a Mammalian Voltage-Dependent Shaker Family K + Channel
inferredcites →https://doi.org/10.1126/science.1116270openalex-snapshot
Voltage Sensor of Kv1.2: Structural Basis of Electromechanical Coupling
inferredcites →https://doi.org/10.1152/jn.01009.2005openalex-snapshot
Alterations in Burst Firing of Thalamic VPL Neurons and Reversal by Nav1.3 Antisense After Spinal Cord Injury
inferredcites →https://doi.org/10.1177/1073858402239589openalex-snapshot
Spreading Acidification and Depression in the Cerebellar Cortex
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Potassium Channels, Memory T Cells, and Multiple Sclerosis
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Screening for Dihydrofolate Reductase Inhibitors Using MOLPRINT 2D, a Fast Fragment-Based Method Employing the Naïve Bayesian Classifier: Limitations of the Descriptor and the Importance of Balanced Chemistry in Training and Test Sets
inferredcites →https://doi.org/10.1186/1744-8069-1-16openalex-snapshot
How Cold is It? TRPM8 and TRPA1 in the Molecular Logic of Cold Sensation
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Overview of the voltage-gated sodium channel family.
inferredcites →https://doi.org/10.1254/jjp.88.365openalex-snapshot
Molecular Diversity of Structure and Function of the Voltage-Gated Na+ Channels
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New Approaches to Atrial Fibrillation Management
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An introduction to chemoinformatics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Similarity methods in chemoinformatics
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Mean-Field Theory of Meta-learning
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Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method
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An efficient approach for the prediction of ion channels and their subfamilies
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Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine
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Prediction of New Bioactive Molecules using a Bayesian Belief Network
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High-throughput virtual screening
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Identification of DNA adduct formation of small molecules by molecular descriptors and machine learning methods
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Bioinformatics approaches for functional annotation of membrane proteins
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Gradient Boosting Based Classification of Ion Channels
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Gene Selection and Classification of Microarray Data Using Convolutional Neural Network
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AN ACTIVITY PREDICTION MODEL USING SHAPE-BASED DESCRIPTOR METHOD
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Ensemble learning method for the prediction of new bioactive molecules
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Insights into Machine Learning-based Approaches for Virtual Screening in Drug Discovery: Existing Strategies and Streamlining Through FP-CADD
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Exploring the Potential of Spherical Harmonics and PCVM for Compounds Activity Prediction
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Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction
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APPLICATIONS OF SUPPORT VECTOR MACHINES AS A ROBUST TOOL IN HIGH THROUGHPUT VIRTUAL SCREENING
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Machine learning and similarity-based virtual screening techniques
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8th International Conference on Signal, Image Processing and Pattern Recognition
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Meramalnet: A Deep Learning Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
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