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Record W2781674063 · doi:10.1142/s108842461730004x

Steroid-photosensitizer conjugates: Syntheses and applications

2017· article· en· W2781674063 on OpenAlexaff
Samira Osati, Hesham Ali, Brigitte Guérin, Johan E. van Lier

Bibliographic record

VenueJournal of Porphyrins and Phthalocyanines · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsChemistryPhotosensitizerTetrapyrroleCovalent bondConjugatePhotodynamic therapyCombinatorial chemistryPhotochemistryFluorescenceNanotechnologyOrganic chemistry

Abstract

fetched live from OpenAlex

This review focuses on progress in the development of different approaches to the design of steroid ([Formula: see text] estrogens, androgens, cholesterol) conjugates with coordination assemblies of metalloporphyrins, phthalocyanines and related complexes. Porphyrins and phthalocyanines have received considerable attention due to their novel composition, intriguing spectroscopic, photophysical, and redox properties, and potential application in light-harvesting and optoelectronic devices. With the development of more efficient imaging and therapeutic applications, these bio-conjugates are evaluated as multimodality agents (PET, fluorescence imaging) to monitor the mechanism of action of biologically active components in living systems and as agents for molecular recognition, oxygen atom transfer and catalysis. The tetrapyrrole components, which can be coupled via covalent and various non-covalent linkages, may exhibit strong interactions through efficient photo-induced electron and/or energy transfer processes.

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 score0.112
Threshold uncertainty score0.647

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 head0.021
GPT teacher head0.269
Teacher spread0.249 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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