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Record W2597616102

Development and Application of Synthetic Methods for the Production of Small Molecule Libraries

2016· article· en· W2597616102 on OpenAlexfundno aff
Kyle Leckett

Bibliographic record

VenueMacSphere (McMaster University) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
FundersMcMaster University
KeywordsProduction (economics)Computer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

The synthesis of chemical libraries is a fundamental tool used to identify molecules with desirable biological activity. Recent developments in combinatorial synthesis techniques have allowed for the rapid generation of very large and diverse chemical libraries that can be used in conjunction with high-throughput screening (HTS) technology to identify lead molecules that can be potentially developed into pharmaceuticals. Libraries based around an oxindole scaffold (previously identified as inhibitors of cRAf1 kinase) were recently shown to display inhibitory effects against aminoglycoside phosphotransferases (APH) enzymes found in bacteria responsible for antibiotic resistance to aminoglycosides. Additionally, substituted quinazolines (similar in structure to the known drug Lapatinib) were identified as a potent inhibitor of both APH(2”)Id and ANT(2”). The present thesis involves the development of synthetic protocols suitable for the generation and subsequent biotesting of chemical libraries based around these hits in order to determine the pharmacophore in each case.

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: none
Teacher disagreement score0.677
Threshold uncertainty score0.983

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 head0.009
GPT teacher head0.186
Teacher spread0.177 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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