ArticleAustin journal of pharmacology and therapeutics2013
Protein-Protein Interactions as New Targets for Ion Channel Drug Discovery.
Article in Austin journal of pharmacology and therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies.BMC bioinformatics · 2019Pooled it
- Interactomic exploration of LRRC8A in volume-regulated anion channels.Cell death discovery · 2024Article
- High-throughput screening against protein:protein interaction interfaces reveals anti-cancer therapeutics as potent modulators of the voltage-gated NaScientific reports · 2019Article
- Functional Modulation of Voltage-Gated Sodium Channels by a FGF14-Based Peptidomimetic.ACS chemical neuroscience · 2018Article
- Full-Spectral Multiplexing of Bioluminescence Resonance Energy Transfer in Three TRPV Channels.Biophysical journal · 2017Article
- CK2 activity is required for the interaction of FGF14 with voltage-gated sodium channels and neuronal excitability.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2016Article
- Identification of Amino Acid Residues in Fibroblast Growth Factor 14 (FGF14) Required for Structure-Function Interactions with Voltage-gated Sodium Channel Nav1.6.The Journal of biological chemistry · 2016Article
- Role of the axonal initial segment in psychiatric disorders: function, dysfunction, and intervention.Frontiers in psychiatry · 2014Review
- Modulation of the FGF14:FGF14 homodimer interaction through short peptide fragments.CNS & neurological disorders drug targets · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Protein-protein interactions (PPI) are key molecular elements that provide the basis of signaling in virtually all cellular processes. The precision and specificity of these molecular interactions have ignited a strong interest in pursuing PPI surfaces as new targets for drug discovery, especially against ion channels in the central nervous system (CNS) where selectivity and specificity are vital for developing drugs with limited side effects. Ion channels are large transmembrane domain proteins assembled with multiple regulatory proteins binding to the intracellular portion of channels. These macromolecular complexes are difficult to isolate, purify and reconstitute, posing a significant barrier in targeting these PPI for drug discovery purposes. Here, we will provide a short overview of salient features of PPI and discuss successful studies focusing on protein-channel interactions that could inspire new drug discovery campaigns targeting ion channel complexes.
Indexed as
Identifiers
25485305PMC4255474What OpenQuestion holds
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.