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Record W7046785756

Discovery and characterization of allosteric CD45 inhibitors

2013· dissertation· en· W7046785756 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversité de MontréalMcGill University
KeywordsAllosteric regulationProtein tyrosine phosphataseIn silicoActive siteEnzymePhosphataseIn vitroMutant
DOInot available

Abstract

fetched live from OpenAlex

CD45 phosphatase is expressed ubiquitously on cells of lymphoid origin, and has long been considered a drug target for immunosuppression. CD45 is a key component of the signaling pathway in immune cells, regulating activation and development of these cells. Drug intervention could suppress growth and provide a therapeutic avenue for treatment of transplant rejection, auto-immune diseases such as rheumatoid arthritis, and various cancers of the immune system. The intracellular, catalytic portion of CD45 is comprised of the D1 and D2 domains. The active site is located in the D1 domain, and the D2 domain is catalytically inactive. We decided to target the inter-domain region between D1 and D2 for the development of a small molecule allosteric inhibitor. The linker region between CD45 D1 and D2 was modeled in silico, and NCI database was screened for compounds that dock in this region. Hits were tested in vitro and we detected two CD45 inhibitors, one of which was demonstrated to be highly selective for CD45 in tyrosine phosphatase counter-assays. Analogs were generated which increased in vitro potency, and cell membrane permeability. The most active inhibitor, 211, was pursued further. The kinetics of CD45 inhibition by 211 indicated a non-competitive and irreversible mechanism of action, as well as some degree of substrate specificity. Site-directed mutations in CD45 enzyme at the predicted 211 binding sites revealed a loss of inhibition by 211 in the mutant CD45, consistent with the in silico prediction of allosteric inhibition. Circular dichroism studies indicated a conformational change in CD45 enzyme, in the presence of 211. We first validated that CD45 was the target of 211 in cells, by evidence of a change in the phosphorylation of its in vivo substrate Lck in Jurkat cells. As a control, the phosphorylation status of Lck was not affected in J45.01 (CD45-negative) cells with 211 treatment. 211 was shown to suppress the activation of T cell receptor signaling in primary T cells. In vivo, 211 inhibits the antigen-induced immune response in the mouse footpad.CD45 inhibitor 211 was assayed for its anti-cancer properties in the EL4 mouse thymoma cell line. 211 inflicted dose-dependent toxicity on these cells via cell cycle rest and apoptosis. EL4 cells injected into mice were delayed in developing a solid tumor when mice were treated with 211, and metastasis to the lymph nodes was reduced in these animals. Our work has shown the therapeutic potential of targeting CD45 by revealing a novel allosteric binding site for a CD45 inhibitor, and this approach may be useful for targeting other two-domain tyrosine phosphatases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.227
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2013
Admission routes1
Has abstractyes

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