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Record W2729618901 · doi:10.1002/jcb.26257

Pathological role of a point mutation (T315I) in BCR‐ABL1 protein—A computational insight

2017· article· en· W2729618901 on OpenAlexaff
Vidya Rajendran, Chandrasekhar Gopalakrishnan, Rao Sethumadhavan

Bibliographic record

VenueJournal of Cellular Biochemistry · 2017
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPoint mutationMutationMutantMyeloid leukemiaBiologyTyrosine kinaseFlexibility (engineering)ThreonineGeneticsCancer researchSerinePhosphorylationComputational biologyCell biologySignal transductionGene

Abstract

fetched live from OpenAlex

BCR-ABL protein is one of the most potent target to treat chronic myeloid leukemia (CML). Apart from other mutations, T315I is especially challenging as it confers resistance to all first- and second-generation tyrosine kinase inhibitors. So, a thorough study of altered behavior upon mutation is crucially needed. To understand the resistance mechanism of mutant BCR-ABL protein, we organized a long-term molecular dynamics simulation (500 ns) and performed the detailed comparative conformational analysis. We found that due to mutation at 315th position (threonine to isoleucine), original structures deviated from normal, and attained a flexible conformation. Our observations pave a clear path toward designing new inhibitors against resistant BCR-ABL1 protein and suggest a strategy where additional flexibility governed by mutation could be given an appropriate consideration.

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)0.000
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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".

Quick stats

Citations114
Published2017
Admission routes1
Has abstractyes

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