MétaCan
Menu
Back to cohort
Record W2030383714 · doi:10.1021/bi048641k

NMR Dynamics-Derived Insights into the Binding Properties of a Peptide Interacting with an SH2 Domain

2004· article· en· W2030383714 on OpenAlexaff
P.J. Finerty, Anthony Mittermaier, Ranjith Muhandiram, Lewis E. Kay, Julie D. Forman‐Kay

Bibliographic record

VenueBiochemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsDynamics (music)PeptideDomain (mathematical analysis)ChemistryBiophysicsPhysicsBiochemistryBiologyMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

The signal transduction protein phospholipase C-gamma1 (PLC-gamma1) is activated when its C-terminal SH2 domain (PLCC) binds the phosphorylated Tyr-1021 site (pTyr-1021) in the beta-platelet-derived growth factor receptor (PDGFR). To better understand the contributions that dynamics make to binding, we have used NMR relaxation experiments to investigate the motional properties of backbone amide and side chain methyl groups in a peptide derived from the pTyr-1021 site of PDGFR, both free and in complex with the PLCC SH2 domain. The free peptide has relaxation properties that are typical for a small, unstructured polymer, while the backbone of the bound peptide is least flexible for residues in the central portion of the binding site with the amplitude of pico- to nanosecond time scale motions increasing toward the C-terminus of the peptide. The increase in large amplitude motion toward the end of the pY1021 peptide is consistent with the bound peptide existing as an ensemble of states with C-terminal residues having the broadest distribution of backbone conformations, while residues in the central binding site are the most restricted. Deuterium spin relaxation experiments establish that the protein-peptide interface is highly dynamic, and this mobility may play an important role in modulating the affinity of the interaction.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.515

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 head0.006
GPT teacher head0.212
Teacher spread0.206 · 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 designBench or experimental
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

Citations29
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueBiochemistrySame topicProtein Structure and DynamicsFrench-language works237,207