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Protein Chimera-based Ca2+ Rewiring as a Treatment Modality for Neurodegeneration

2018· article· en· W2895018800 on OpenAlexaff
Netra U. Rajesh, Anam Qudrat

Bibliographic record

VenueCurrent Psychopharmacologye · 2018
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeurodegenerationNeuroscienceRegulatorBiologySignal transductionCalcium signalingDiseaseComputational biologyBioinformaticsCell biologyMedicineGeneticsGene

Abstract

fetched live from OpenAlex

Calcium is a versatile signaling molecule; a key regulator of an array of diverse cellular processes ranging from transcription to motility to apoptosis. It plays a critical role in neuronal signal transmission and energy metabolism through specialized mechanisms. Dysregulation of the Ca2+ signaling pathways has been linked to major psychiatric diseases. Here, we focus on molecular psychiatry, exploring the role of calcium signaling in neurological disease development and aggravation, specifically in Alzheimer’s and Huntington’s diseases. Understanding the molecular underpinnings helps us first to identify common mechanistic patterns, and second to develop targeted therapeutics for symptom alleviation. Specifically, we propose potential protein-level hallmarks of dysregulation that can be targeted using calcium-based chimeras (synthetic fusions of unrelated modular proteins) for localized pharmacotherapy.

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 categoriesMeta-epidemiology (narrow)
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 score0.017
Threshold uncertainty score1.000

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 head0.097
GPT teacher head0.405
Teacher spread0.309 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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