MétaCan
Menu
Back to cohort

Growing Impact of Bioorthogonal Click Chemistry in Cell Surface Glycan Labeling

2024· article· en· W4403134382 on OpenAlexaff
Anand K. Agrahari, Sanchayita Rajkhowa, Sumit K. Singh, Manoj K. Jaiswal, Vinod K. Tiwari

Bibliographic record

VenueCurrent Organic Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsMedicine Hat College
FundersScience and Engineering Research BoardCouncil of Scientific and Industrial Research, India
KeywordsChemistryBioorthogonal chemistryClick chemistryGlycanCombinatorial chemistryBiochemistry

Abstract

fetched live from OpenAlex

Bioorthogonal chemistry represents a collection of chemical techniques employing unique functional groups to probe and comprehend biological processes within living organisms. This tool has unparalleled selectivity, exceptional biocompatibility, and moreover, the versatility which all together make it a very powerful protocol for the studying of biological processes and developing new therapeutics. This review offers a comprehensive overview of the sophisticated reactions employed in bioorthogonal chemistry, as well as potential methodologies for conducting these reactions. Additionally, it delves into bioorthogonal-based chemical strategies for incorporating 'bioorthogonal handles' into biomolecules. The review extensively covers the recent advancements in bioorthogonal click chemistry, from its inception to its notable applications in live cell imaging, biomolecule characterization, and glycome imaging. Furthermore, it discusses the future potential of click chemistry for synergistic integration of chemistry and biology, highlighting its versatility and promise in advancing various emerging fields in drug discovery and 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 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 categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score0.999

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)0.0010.000

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 head0.015
GPT teacher head0.312
Teacher spread0.298 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Organic ChemistrySame topicGlycosylation and Glycoproteins ResearchFrench-language works237,207