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Record W2101909543 · doi:10.1002/prot.22451

The role of conserved water molecules in the catalytic domain of protein kinases

2009· article· en· W2101909543 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProteins Structure Function and Bioinformatics · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchMultiple Sclerosis Society of CanadaNational Biomedical Computation ResourceSan Diego Supercomputer CenterGeorgia Cancer CoalitionHoward Hughes Medical Institute
KeywordsKinaseProtein kinase domainResidue (chemistry)Cell biologySH3 domainChemistryBiochemistryProtein structureMoleculeBiologyBiophysicsProto-oncogene tyrosine-protein kinase SrcGene

Abstract

fetched live from OpenAlex

Protein kinases are essential signaling molecules with a characteristic bilobal shape that has been studied for over 15 years. Despite the number of crystal structures available, little study has been directed away from the prototypical functional elements of the kinase domain. We have performed a structural alignment of 13 active-conformation kinases and discovered the presence of six water molecules that occur in conserved locations across this group of diverse kinases. Molecular dynamics simulations demonstrated that these waters confer a great deal of stability to their local environment and to a key catalytic residue. Our results highlight the importance of novel elements within the greater kinase family and suggest that conserved water molecules are necessary for efficient kinase function.

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: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.283

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 head0.003
GPT teacher head0.188
Teacher spread0.185 · 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