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Record W2443050644 · doi:10.1385/1-59259-187-6:99

CFTR Regulation by Phosphorylation

2003· article· en· W2443050644 on OpenAlexafffund
Tang Zhu, Deborah A. R. Hinkson, David Dahan, Alexandra Evagelidis, John W. Hanrahan

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsMcGill University
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health ResearchHealth CanadaNational Institutes of Health
KeywordsCystic fibrosis transmembrane conductance regulatorPhosphorylationProtein kinase AChemistryProtein kinase CDephosphorylationPhosphataseChloride channelCasein kinase 2BiochemistryKinaseCell biologyBiologyMitogen-activated protein kinase kinase

Abstract

fetched live from OpenAlex

The cystic fibrosis transmembrane conductance regulator (CFTR) is a tightly regulated anion channel expressed in epithelial and other cells. It conducts chloride and bicarbonate ions through the plasma membrane and also influences the activity of other channels and transporters through unknown mechanisms. CFTR has two membrane domains (TM1, TM2), each comprised of six trans-membrane segments, two nucleotide-binding folds (NBD1, NBD2) that bind and hydrolyze ATP, and a central regulatory or “R” domain (). Phosphorylation of the R domain by protein kinases Table 1) stimulates channel activity and may also enhance interactions of CFTR with other proteins. This chapter describes methods that we have found useful for studying the phosphorylation and dephosphorylation of CFTR. We emphasize simple approaches for the partial purification of CFTR and for assaying kinase and phosphatase activities using either CFTR or casein as substrate. Table 1 Predicted Phosphorylation Sites in the R Domain for Protein Kinase A (PKA), Protein Kinase C (PKC), and Casein Kinase 2 (CK2) A Context Serines Pos ??↓ Score Pred Kinase 631 ---SELQN 0.002 . 641 QPDFSSKLM 0.390 . 642 PDFSSKLMG 0.015 . 649 MGCDSFDQF 0.007 . 654 FDQFSAERR 0.590 *S* 660 ERRNSILTE 0.981 *S* PKA 670 LHRFSLEGD 0.997 *S* PKA 678 DAPVSWTET 0.997 *S* CK2 686 TKKQSFKQT 0.986 *S* PKA/PKC 700 KRKNSILNP 0.958 *S* PKA 707 NPINSIRKF 0.096 . PKC 712 IRKFSIVQK 0.889 *S* PKA 728 IEEDSDEPL 0.985 *S* 737 ERRLSLVPD 0.988 *S* PKA 742 LVPDSEQGE 0.783 *S* 753 LPRISVIST 0.990 *S* PKA 756 ISVISTGPT 0.927 *S* 768 RRRQSVLNL 0.990 *S* PKA 776 LMTHSVNQG 0.009 . 790 KTTA STRKV 0.892 *S* PKC 795 TRKVSLAPQ 0.954 *S* PKA 809 LDIYSRRLS 0.023 . 813 SRRLSQETG 0.997 *S* PKA B Context Threonines Pos ↓ Score Pred 663 NSILTETLH 0.064 . 665 ILTETLHRF 0.235 . 680 PVSWTETKK 0.055 . 682 SWTETKKQS 0.903 *T* PKC 690 SFKQTGEFG 0.068 . 717 IVQKTPLQM 0.122 . 757 SVISTGPTL 0.023 . 760 STGPTLQAR 0.033 . 774 LNLMTHSVN 0.024 . 787 IHRKTTAST 0.814 *T* PKA 788 HRKTTASTR 0.498 . 791 TTASTRKVS 0.760 *T* PKC QANLTELDI 0.021 . 816 LSQETGLEI 0.050 . C Tyrosines Pos Context Score Pred 808 ELDIYSRRL 0.474 . Score indicates probability the site would be phosphorylated according to NetPhos 2.0, a program that uses experimentally observed phosphoryla- tions in a large protein database.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.380

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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations6
Published2003
Admission routes2
Has abstractyes

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