ReviewPLoS computational biology2006
The ion channel inverse problem: neuroinformatics meets biophysics.
Review in PLoS computational biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed.
- Quantum Capacity of Continuously Observed Ion Channels.Entropy (Basel, Switzerland) · 2026Article
- Generalised Hodgkin-Huxley model captures human P2X and AMPA receptor currents.The Journal of physiology · 2026Article
- Power spectral analysis of voltage-gated channels in neurons.Frontiers in neuroinformatics · 2024Article
- The Roles of Potassium and Calcium Currents in the Bistable Firing Transition.Brain sciences · 2023Article
- The Role of Potassium and Calcium Currents in the Bistable Firing Transition.bioRxiv : the preprint server for biology · 2023Article
- Can neuron modeling constrained by ultrafast imaging data extract the native function of ion channels?Frontiers in computational neuroscience · 2023Article
- SCN8A Encephalopathy: Case Report and Literature Review.Neurology international · 2021Article
- Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Four Ways to Fit an Ion Channel Model.Biophysical journal · 2019Article
- Phenomenological models of NaScientific reports · 2019Article
- Reproducible model development in the cardiac electrophysiology Web Lab.Progress in biophysics and molecular biology · 2018Article
- Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics.The Journal of physiology · 2018Article
- A single Markov-type kinetic model accounting for the macroscopic currents of all human voltage-gated sodium channel isoforms.PLoS computational biology · 2017Article
- Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes.Journal of computational neuroscience · 2016Article
- Hodgkin-Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods.Royal Society open science · 2015Article
- Methods for quantification of pore-voltage sensor interaction in Ca(V)1.2.Pflugers Archiv : European journal of physiology · 2014Article
- The biology of the glutamatergic system and potential role in migraine.International journal of biomedical science : IJBS · 2013Article
- Neuromodulation: selected approaches and challenges.Journal of neurochemistry · 2013Review
- Efficient maximum likelihood estimation of kinetic rate constants from macroscopic currents.PloS one · 2011Article
- Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes.PLoS computational biology · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Ion channels are the building blocks of the information processing capability of neurons: any realistic computational model of a neuron must include reliable and effective ion channel components. Sophisticated statistical and computational tools have been developed to study the ion channel structure-function relationship, but this work is rarely incorporated into the models used for single neurons or small networks. The disjunction is partly a matter of convention. Structure-function studies typically use a single Markov model for the whole channel whereas until recently whole-cell modeling software has focused on serial, independent, two-state subunits that can be represented by the Hodgkin-Huxley equations. More fundamentally, there is a difference in purpose that prevents models being easily reused. Biophysical models are typically developed to study one particular aspect of channel gating in detail, whereas neural modelers require broad coverage of the entire range of channel behavior that is often best achieved with approximate representations that omit structural features that cannot be adequately constrained. To bridge the gap so that more recent channel data can be used in neural models requires new computational infrastructure for bringing together diverse sources of data to arrive at best-fit models for whole-cell modeling. We review the current state of channel modeling and explore the developments needed for its conclusions to be integrated into whole-cell modeling.
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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.