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Abstract PR02: Small molecules that specifically inhibit the D-loop activity of RAD51

2017· article· en· W2604801416 on OpenAlexaboutno aff
Brian Budke, Wei Lv, W. TUECKMANTEL, Alan P. Kozikowski, Philip P. Connell

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsRAD51Homologous recombinationDNADNA damageBiologyCancer cellChemistryCell biologyCancer researchMolecular biologyBiophysicsCancerBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract RAD51 plays a central role in homologous recombination (HR), which maintains genome integrity. RAD51 is commonly overexpressed in cancer cells relative to normal tissue and is considered a therapeutic target in oncology. One potential challenge for targeting RAD51 pharmacologically is that it mediates functions in both double-strand DNA break (DSB) repair and stabilization of stalled replication forks. In order to distinguish compound-mediated effects on these RAD51 functions, we developed a novel class of RAD51 inhibitors. In contrast to many previously reported RAD51 inhibitors, we sought to develop compounds that do not inhibit RAD51's ability to bind single-stranded DNA (ssDNA). Instead, these compounds prevent RAD51-ssDNA nucleoprotein filaments from invading into homologous double-stranded DNA templates and forming D-loops. Our initial lead compound RI(dl)-1 (an abbreviation for RAD51 inhibitor of D-loop formation #1) is capable of blocking RAD51-mediated D-loop formation in biochemical assays, using concentrations that do not prevent RAD51 binding to ssDNA. An analog of this compound, termed RI(dl)-2, provides even better inhibition of RAD51's D-loop activity in biochemical systems (IC50 15.8 µM). RI(dl)-2 reduces HR activity in cells in dose ranges that do not stimulate single strand annealing (SSA) activity, which distinguishes it more generalized RAD51 inhibitors. RI(dl)-2 also sensitizes several cancer cell lines to radiation-induced death. We now present the results of more extensive structure activity relationship (SAR) optimizations aimed at further improving the potency and selectivity of this class of compounds. Several of these compounds are capable of delaying the timely resolution of radiation-induced RAD51 foci, even though initial RAD51 foci are apparently normal at earlier time points. Similar focus kinetics are observed for gamma-H2AX in identically treated cells, supporting the interpretation that these compounds permit RAD51 assembly at DSBs but prevent the completion of DSB repair. Unlike RI(dl)-2, some these newer compounds sensitize cancer cells to mitomycin C. These specialized RAD51 inhibitory compounds are attractive candidates for potential use as radiation or chemotherapy sensitizers, since they may exert fewer toxic risks compared to more generalized inhibitors of the HR repair machinery. They may also serve to help distinguish the functions of RAD51 DSB repair and replication stress tolerance, which may enable better understanding of RAD51's roles in maintaining genome stability. This abstract is also being presented as Poster A02. Citation Format: Brian Budke, Wei Lv, Werner Tueckmantel, Alan Kozikowski, Philip Connell. Small molecules that specifically inhibit the D-loop activity of RAD51 [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr PR02.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.095
GPT teacher head0.371
Teacher spread0.276 · 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
Published2017
Admission routes1
Has abstractyes

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