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Peptide and Small Molecule Inhibitors Targeting Myeloid Cell Leukemia 1 (Mcl-1) as Novel Antitumor Agents

2020· review· en· W3091174927 on OpenAlex

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

VenueCurrent Molecular Medicine · 2020
Typereview
Languageen
FieldChemistry
TopicMulticomponent Synthesis of Heterocycles
Canadian institutionsUniversity of British Columbia
FundersNatural Science Foundation of Guangxi ProvinceNational Natural Science Foundation of China
KeywordsSmall moleculeMyeloid leukemiaChemistryPeptideCancer researchIndole testLeukemiaCancer cellApoptosisCancerPharmacologyBiochemistryBiologyImmunology

Abstract

fetched live from OpenAlex

Myeloid cell leukemia 1 (Mcl-1) is a member of the Bcl-2 family of proteins with anti-apoptotic activity. It plays a key role in the regulation of the intrinsic pathway of apoptosis. Moreover, Mcl-1 is correlated with the progression and drug-resistance of various cancers. The development of inhibitors of Mcl-1 may provide effective cancer therapies. While the inhibitors of other Bcl-2 anti-apoptotic proteins have been well explored, the discovery of Mcl-1inhibitors with high selectivity has been challenging. In this review, we summarize the recent literature on small molecule and peptide inhibitors of Mcl-1, which are divided into different types including peptide inhibitors, gossypol derivatives, marinopyrrole derivatives, S1 derivatives, indole derivatives, quinoline derivatives, S63845, AZD5991, AMG176, etc. Their biological activities are also summarized. Mcl-1 is a valid drug target and inhibition of Mcl-1 with a small molecule inhibitor is a promising strategy for cancer therapy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.046
GPT teacher head0.308
Teacher spread0.262 · 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