Evidence map›Paper›PMID 21455600›Full record

ArticleJournal of molecular modeling2012

Structural models of CFTR-AMPK and CFTR-PKA interactions: R-domain flexibility is a key factor in CFTR regulation.

Marian Siwiak, Aleksander Edelman, Piotr Zielenkiewicz

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular modeling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Marian SiwiakDepartment of Bioinformatics, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Aleksander Edelman
Piotr Zielenkiewicz
Institute of Biochemistry and Biophysics, Polish Academy of Sciences · PLUniversité Paris Cité · FRUniversity of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis (CF), the most common lethal genetic disease among Caucasians, is caused by mutations in cystic fibrosis transmembrane conductance regulator (CFTR). CFTR's main role is to transport chloride ions across epithelial cell membranes. It also regulates many cell functions. However, the exact role of CFTR in cellular processes is not yet fully understood. It is recognized that a key factor in CFTR-related regulation is its phosphorylation state. The important kinases regulating CFTR are cAMP-dependent protein kinase A (PKA) and 5'-AMP-activated protein kinase (AMPK). PKA and AMPK have opposite effects on CFTR activity despite their highly similar structures and recognition motifs. Utilizing homology modeling, in silico mutagenesis and literature mining, we supplement available information regarding the atomic-resolution structures of PKA, AMPK and CFTR, and the complexes CFTR-PKA and CFTR-AMPK. The atomic-resolution structural predictions reveal an unexpected availability of CFTR Ser813 for phosphorylation by both PKA and AMPK. These results indicate the key role of the structural flexibility of the serine-rich R-domain in CFTR regulation by phosphorylation.

Indexed as

Models, MolecularProtein Interaction Domains and MotifsAmino Acid SequenceAMP-Activated Protein KinasesCyclic AMP-Dependent Protein KinasesCystic Fibrosis Transmembrane Conductance RegulatorHumansPhosphorylationProtein Structure, TertiarySequence Analysis, ProteinAMP-Activated Protein KinasesCFTR protein, humanCyclic AMP-Dependent Protein KinasesCystic Fibrosis Transmembrane Conductance Regulator

Identifiers

PMID21455600
PMCPMC3249538
OpenAlexW2031099511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.