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Record W4287944463

Investigating Ash1L Histone Methyltransferase using Chemical Biology Approaches

2020· article· en· W4287944463 on OpenAlexfundno aff
Hao Li

Bibliographic record

VenueDeep Blue (University of Michigan) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsnot available
FundersUniversity of TorontoNorthwestern University
KeywordsComputational biologyHistone methyltransferaseMethyltransferaseBiologyHistoneGeneticsMethylationDNA
DOInot available

Abstract

fetched live from OpenAlex

Ash1L (absent, small, or homeotic-like 1) is a histone lysine methyltransferase that catalyzes mono- and dimethylation of histone H3 lysine 36. Previous studies showed that Ash1L is implicated in a variety of cancers. Remarkably Ash1L is involved in the pathogenesis of acute leukemias with chromosomal translocations of the Mixed Lineage Leukemia (MLL) gene, which present in 5-10% of adult acute leukemias and up to 70% of infant leukemias with poor prognosis. Hence Ash1L is a validated target for therapeutic intervention, and the availability of potent small molecule inhibitors would be invaluable to investigate the roles of Ash1L in leukemias and other diseases. We previously employed fragment-based drug discovery and identified compounds that bind to Ash1L. Through optimization of the fragment hit, we developed inhibitors that exhibit sub-millimolar activity against Ash1L. In this work, we aimed to further improve the inhibitory activity of compounds and present the development of potent Ash1L inhibitors. We conducted extensive medicinal chemistry optimization and structure-based design. These efforts yielded a series of potent compounds that selectively inhibit Ash1L in biochemical assays and exhibit on-target activity in human leukemia cells. Moreover, we obtained multiple high resolution crystal structures of Ash1L in complex with inhibitors, and these structures reveal that compounds bind to a pocket in the vicinity of the autoinhibitory loop in the SET domain. To our knowledge, compounds we developed represent first-in-class inhibitory chemical probes targeting Ash1L. Based on the design of Ash1L inhibitors we made a fluorescent tool compound and developed a fluorescence polarization assay. Employing this assay we performed high-throughput screening (HTS) of 23,500 compounds and identified a hit compound that binds to Ash1L. The discovery of this compound from HTS provides a promising direction for developing a new class of Ash1L inhibitors. Lastly, we used Ash1L inhibitors to probe the conformational dynamics of Ash1L SET domain and studied the protein-protein interaction between Ash1L and Mrg15. We discovered that binding of inhibitor partially stabilizes the conformation of the SET domain but the autoinhibitory loop region experiences enhanced dynamics in solution. We also validated that Mrg15 binds to Ash1L and activates its enzymatic activity. However, we found that the activities of Ash1L inhibitors are not affected by the presence of Mrg15. In conclusion, our studies describe multiple approaches of using well-characterized chemical probes to investigate inhibition and functions of Ash1L histone methyltransferase.

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: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.654

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)0.0000.000

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 head0.036
GPT teacher head0.229
Teacher spread0.193 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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