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Record W1991720804 · doi:10.13034/cysj-2013-008

SLAK-1, a proposed antibody-conjugated illudin analogue that selectively targets breast cancer<sup>1</sup>

2013· article· en· W1991720804 on OpenAlexaffvenue
Shama Bhatia, Louis Ho, Andrew E. Hogan, Krysten Shortt

Bibliographic record

VenueJournal of Student Science and Technology · 2013
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConjugated systemBreast cancerAntibodyCancerChemistryMolecular biologyBiologyGeneticsOrganic chemistry

Abstract

fetched live from OpenAlex

Our improved understanding behind the molecular mechanisms of tumorigenesis has facilitated the development of novel treatments for cancer. These are often small molecule natural products which have potent cytotoxic activity that inhibit the growth of cancerous cells. However, these chemotherapeutic drugs often have multiple biochemical targets that make it difficult to selectively target cancer cells. Antibody-Drug Conjugates (ADC) are cytotoxic agents that are chemically attached to monoclonal antibodies that target cancer-specific antigens. ADCs using the humanized antibody trastuzumab can facilitate the internalization of the drug by first binding to the human epidermal growth factor receptor 2 (HER2) which are over expressed on the surface of breast cancer cells in aggressive tumour types. With a lower risk of off-target side-effects, we present the use of a more potent cytotoxic agent with dual anticancer modes of action known as the illudin--a novel sesquiterpene that is derived from Omphalotus mushrooms with high therapeutic value. We first propose chemical modifications of illudin analogues to maximize both affinity to glutathione reductase and DNA damaging ability. By analyzing the chemical mechanisms of cytotoxicity and carrying out protein-docking simulations, an optimized illudin analogue can be generated. We then propose the construction of SLAK-1, an ADC that consists of a HER2 targeting antibody (Trastuzumab) and an illudin analogue that are attached to each other via a non-reducible thioether linker (SMCC). L’amélioration de notre compréhension vis-à-vis les mécanismes moléculaires tumorigenèse à faciliter le développement de nouveaux traitements pour le cancer. Ce sont habituellement de petits produits naturels qui détiennent une activité cytotoxique puissante inhibant la croissance de cellules cancéreuses. Toutefois, ces médicaments chimiothérapeutiques ont souvent de multiples cibles biochimiques ce qui rend difficile de cibler sélectivement les cellules cancéreuses. Les conjugués anticorps-médicament (ADC = antibody-drug conjugate) sont des agents cytotoxiques qui sont liés chimiquement à des anticorps monoclonaux qui ciblent à leur tour des antigènes spécifiques au cancer. L’ADC utilisant l’anticorps humain Trastuzumab peut faciliter l’internalisation du médicament en se liant tout d’abord au récepteur du facteur de croissance épidermique humain 2 (HER2) qui sont surexprimés à la surface des cellules du cancer du sein dans des tumeurs de types agressifs. Avec un risque plus faible d’effets secondaires hors cible, on présente l’utilisation d’un agent cytotoxique plus puissant avec une double action anticancéreuse connu sous le nom d’illudine – un nouveau sesquiterpène dérivé du champignon Omphalotus qui détient une haute valeur thérapeutique. Nous proposons d'abord des modifications chimiques à aux analogues d’illudine afin de maximiser à la fois affinité à la réductase glutathion et à sa capacité à endommager l'ADN. En analysant les mécanismes chimiques de la cytotoxicité et en menant des simulations d’amarrage de protéines (« docking »), un analogue d’illudine optimisé peut être généré. Nous proposons ensuite la construction de SLAK-1, un ADC qui consiste d'un anticorps ciblant HER2 (Trastuzumab) et un analogue d’illudine qui sont liés entre-elles par un lien thioéther non réductible (SMCC).

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.362
Teacher spread0.338 · 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 designObservational
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

Citations0
Published2013
Admission routes2
Has abstractyes

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