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Generation and Verification of a Three-Dimensional Model of the ALK Kinase Domain: ALK - a “Supermutant” of Abl.

2004· article· en· W2562057618 on OpenAlexaff
Rosalind H. Gunby, Roberta Sottocornola, M Gasser, Léonardo Scapozza, Carlo Gambacorti‐Passerini

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnaplastic lymphoma kinaseABLProtein kinase domainTyrosine kinaseCancer researchBiologyImatinib mesylateChemistryMolecular biologyImatinibBiochemistryMedicineReceptorInternal medicine

Abstract

fetched live from OpenAlex

Abstract Anaplastic Lymphoma Kinase (ALK) is a receptor tyrosine kinase that plays a key role in oncogenesis in a subset of non-Hodgkin’s lymphomas, through the generation of fusion proteins containing its kinase domain (KD), such as NPM/ALK (N/A). A three-dimensional (3D) model of the ALK KD was generated by homology modelling, using the crystal structures of the inactive conformations of Abl and insulin receptor kinase as templates. Sequence alignment of ALK and Abl, which share 34% identity and 61% homology in their KDs indicated that sequences diverged at positions known to be critical for imatinib binding to Abl. ALK sequence differs from Abl at 13 of the 18 amino acids known to be mutated in the Abl KD of imatinib resistant CML patients, with 3 of these ALK amino acids being identical to mutations observed in patients (Y253F, F317L and V379I). Hence, ALK could be considered as a ‘supermutant’ of Abl that should be resistant to Abl inhibitors. Mutation of ALK to an Abl-like sequence should be able to ‘restore’ sensitivity of ALK to Abl inhibitors. In Bcr/Abl, a key determinant in imatinib sensitivity is threonine315 (T315), which is often mutated to a bulky isoleucine residue in relapsed CML patients. In ALK, the corresponding amino acid is a leucine (L256 of N/A), which similarly to isoleucine, causes a steric hindrance in the ATP binding pocket and eliminates the possibility of hydrogen bond formation. Therefore, we hypothesised that a L256T mutation in N/A might render this kinase sensitive to Abl inhibitors. Molecular docking of Abl inhibitors to ALK wild type (WT) and L256T 3D models predicted that WT-ALK should be insensitive to three Abl inhibitors (compound 583, compound 683, imatinib), while L256T-ALK should be inhibited by compound 583 and 683, but not imatinib, which would require further mutagenization. To test this hypothesis we generated BaF3 cell lines stably transfected with WT- and L256T-N/A. We observed that L256T-BaF3 cells were 5 times more sensitive to growth arrest induced by compound 583 than WT-BaF3 cells as determined by 3[H]-thymidine uptake (IC50: 0.2±0.02 v 1.0±0.07 μM [mean ± sem]), and 7 and 3.5 times more sensitive to cell death induced by compounds 583 (70 v 10% after 48h) and 683 (70 v 20% after 16h) respectively, as determined by trypan blue exclusion. No difference in sensitivity to imatinib was observed in the 2 cell lines. In addition, autophosphorylation activity of L256T-N/A, assessed by anti-phosphotyrosine immunoblotting and in vitro radioactive kinase assays, was inhibited by compounds 583 and 683 with IC50s of approximately 0.2 and 3 μM respectively, whereas autophosphorylation activity of WT-N/A was not affected by either inhibitor. Neither L256T- nor WT-N/A kinase activities were inhibited by imatinib. Summarizing, L256T-N/A was significantly more sensitive to compounds 583 and 683 compared with WT-N/A. These data provide experimental evidence supporting our modelling predictions, thereby verifying the reliability of the ALK 3D model. The sensitisation of ALK to compounds 583 and 683, but not imatinib, by the L256T mutation is in agreement with data describing the activities of these inhibitors on Abl mutants, excluding the T315I, and supports the ‘supermutant’ hypothesis.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.029
GPT teacher head0.243
Teacher spread0.214 · 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 designSimulation or modeling
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".

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Citations1
Published2004
Admission routes1
Has abstractyes

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