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Record W2167140796 · doi:10.1002/smll.201302312

Multi‐Responsive and Logic Controlled Release of DNA‐Gated Mesoporous Silica Vehicles Functionalized with Intercalators for Multiple Delivery

2013· article· en· W2167140796 on OpenAlex
Shengwang Zhou, Xuezhong Du, Fangbo Cui, Xianfeng Zhang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSmall · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMinistry of Education and Child Care
FundersNanjing UniversityNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsIntercalation (chemistry)Mesoporous silicaNanotechnologyDNAMesoporous materialMaterials scienceChemistryBiochemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Novel DNA-gated mesoporous silica nanoparticle (MSN) vehicles functionalized with disulfide-linked acridinamine intercalators are constructed for multi-responsive controlled release. The DNA-gated MSN vehicles release cargo encapsulated in the MSN pores under different stimuli, including disulfide reducing agents, elevated temperature, and deoxyribonuclease I (DNase I), for codelivery of drugs and DNA/genes in different forms. Furthermore, the cascade release of encapsulated and intercalative drugs is controlled by AND logic gates in combination of dual stimuli. The ingeniously designed DNA-gated MSN vehicles integrates multiple responses and AND logic gate operations into a single smart nanodevice not only for codelivery of drugs and DNA/genes but also for cascade release of two drugs and has promising biological applications to meet diverse requirements of controlled release.

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.

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 score0.023
Threshold uncertainty score0.431

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 head0.012
GPT teacher head0.236
Teacher spread0.224 · 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