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Record W2948297106

Development of a platform for the rapid synthesis and evaluation of new chelators for radiometals.

2019· article· en· W2948297106 on OpenAlexaff
Elaheh Khozeimeh Sarbisheh, Akam K. Salih, Eric W. Price

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsZirconiumChelationChemistryCombinatorial chemistryComputational biologyBiologyInorganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

69 Introduction: Early diagnosis of cancer not only reduces the cost of treating patients with cancer but also increases the patient’s survival rate. Molecular imaging with PET is a non-invasive and powerful technique that provides detailed quantitative information on cellular and metabolic events. Zirconium-89 features a half-life (78.4 hours) that is well matched to antibody biovectors, favorable decay characteristics for PET imaging, and routine production at a growing number of cyclotron sites world-wide. However, the successful exploitation of these features for PET imaging critically relies upon the careful choice of the bifunctional chelator (BFC), which holds Zr-89 tightly while it is attached to the targeting vector (e.g. antibody). To avoid chelate-instability and leaching of free zirconium-89 into the patient’s body, a BFC with eight oxo-coordination sites to Zr(IV) is ideal. Since the gold-standard chelator for zirconium-89 — desferrioxamine (DFO) — provides a sub-optimal six oxo-coordination sphere, new BFCs with eight oxo-donor sites have been sought after by many research groups in recent years. Although a few successful new BFCs for zirconium-89 have been published in recent years, we have designed a new family of BFCs based on DFO (including our chelators DFO2, DFO2glu, DFO2ʹ) with a synthetic platform that features simple and rapid synthesis of new derivatives to enable binding with Zr(IV) as well as other metal ions. More importantly, we are investigating the use of EXAFS spectroscopy and DFT computational methods with the goal of validating and then integrating these methods with our rapid synthesis platform and traditional radiochemical stability assays. We have determined the most accurate combination of DFT functionals and basis sets for predicting the coordination environment of our large and complicated chelate systems (potential coordination numbers 8-12) by using the accurate bond length values obtained from EXAFS spectroscopy as standard values. We have performed invitro radiochemical stability assays (e.g. serum, transferrin, albumin, hydroxyapatite, EDTA competitions), which have demonstrated that zirconium-89 complexes of DFO2 and several of its derivatives are more stable than DFO. Evaluation of in vivo stability of the bifunctional derivatives of DFO2-type chelators conjugated to the model antibody traustuzumab are ongoing in order to determine the most relevant assays to predict stability. We hope to find a predictive link between our spectroscopic and computational studies and in vivo performance. The ultimate goal is a well-defined and rapid pipeline for new chelator development.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.127
GPT teacher head0.383
Teacher spread0.256 · 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 designBench or experimental
Domainnot available
GenreMethods

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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Citations0
Published2019
Admission routes1
Has abstractyes

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