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Record W2117825622 · doi:10.1177/1087057109356209

High-Throughput Screening for Kv1.3 Channel Blockers Using an Improved FLIPR-Based Membrane-Potential Assay

2009· article· en· W2117825622 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSLAS DISCOVERY · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsChinese hamster ovary cellPlate readerMembrane potentialHigh-throughput screeningVoltage clampPharmacologyChemistryIon channelDrug discoveryChannel blockerElectrophysiologyBiologyBiochemistryReceptorNeuroscienceFluorescence

Abstract

fetched live from OpenAlex

Voltage-gated K+ channels are potential drug targets for an increasing number of disease indications. Searching for compounds that modulate K+ channel activities by high-throughput screening (HTS) is becoming a standard approach in the drug discovery effort. Here the authors report an improved fluorometric imaging plate reader (FLIPR) membrane potential assay for Kv1.3 K+ channel HTS. They have found that the Chinese hamster ovary (CHO) cells have endogenous membrane electrogenic transporters that contribute to maintaining membrane potential. Blocking the recombinant K+ channels in the overexpressing CHO cell line hardly changed the membrane potential. Inhibition of the endogenous transporters is essential to achieve the required assay robustness. The authors identified the optimal assay conditions and designed a simple assay format. After an HTS campaign using this assay, various chemical series of Kv1.3 channel blockers have been identified and confirmed by the automated electrophysiological IonWorks assay. The correlation in dose response between FLIPR and IonWorks was established by biophysical modeling and experimental data. After characterization using patch-clamp recording, both use-dependent and use-independent compounds were identified. Some compounds possess nanomolar potency, indicating that the FLIPR assay is effective for successfully identifying K+ channel blockers as novel drug candidates. Voltage-gated K+ channels are potential drug targets for an increasing number of disease indications. Searching for compounds that modulate K+ channel activities by high-throughput screening (HTS) is becoming a standard approach in the drug discovery effort. Here the authors report an improved fluorometric imaging plate reader (FLIPR) membrane potential assay for Kv1.3 K+ channel HTS. They have found that the Chinese hamster ovary (CHO) cells have endogenous membrane electrogenic transporters that contribute to maintaining membrane potential. Blocking the recombinant K+ channels in the overexpressing CHO cell line hardly changed the membrane potential. Inhibition of the endogenous transporters is essential to achieve the required assay robustness. The authors identified the optimal assay conditions and designed a simple assay format. After an HTS campaign using this assay, various chemical series of Kv1.3 channel blockers have been identified and confirmed by the automated electrophysiological IonWorks assay. The correlation in dose response between FLIPR and IonWorks was established by biophysical modeling and experimental data. After characterization using patch-clamp recording, both use-dependent and use-independent compounds were identified. Some compounds possess nanomolar potency, indicating that the FLIPR assay is effective for successfully identifying K+ channel blockers as novel drug candidates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.266
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it