MétaCan
Menu
Back to cohort
Record W2134452489 · doi:10.1177/1087057103252306

A Generic High-Throughput Screening Assay for Kinases: Protein Kinase A as an Example

2003· article· en· W2134452489 on OpenAlexaff
Rommel Mallari, Elissa Swearingen, Wei Liu, Arnold Ow, Stephen W. Young, Shu‐Gui Huang

Bibliographic record

VenueSLAS DISCOVERY · 2003
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsBiotinylationHigh-throughput screeningKinaseThroughputPolylysineProtein kinase AChromatographyChemistryPeptideCombinatorial chemistryBiochemistryComputer science

Abstract

fetched live from OpenAlex

A generic high-throughput screening assay based on the scintillation proximity assay technology has been developed for protein kinases. In this assay, the biotinylated (33)P-peptide product is captured onto polylysine Ysi bead via avidin. The scintillation signal measuring the product formation increases linearly with avidin concentration due to effective capture of the product on the bead surface via strong coulombic interactions. This novel assay has been optimized and validated in 384-well microplates. In a pilot screen, a signal-to-noise ratio of 5- to 9-fold and a Z' factor ranging from 0.6 to 0.8 were observed, demonstrating the suitability of this assay for high-throughput screening of random chemical libraries for kinase inhibitors.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.071
GPT teacher head0.331
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2003
Admission routes1
Has abstractno

Explore more

Same venueSLAS DISCOVERYSame topicMonoclonal and Polyclonal Antibodies ResearchFrench-language works237,207