A61 TARGETING A GUANINE QUADRUPLEX IN THE HEPATITIS B VIRUS COVALENTLY CLOSED CIRCULAR DNA GENOME USING SINGLE DOMAIN ANTIBODIES
Bibliographic record
Abstract
Abstract Background The establishment of chronic HBV infection in over 297 million people is due in part through the virus’ highly stable covalently closed circular DNA (cccDNA) persisting in the nuclei of infected hepatocytes. Thus, curing HBV will require direct targeting of the minigenome and detailed structural knowledge of the cccDNA to determine vulnerabilities. Purpose Previous studies have demonstrated that human protein Sp1 interacts with the HBV genome at the preCore/Core promoter - a critical interaction for viral replication. We have recently discovered that the Sp1-binding region of HBV pre-Core forms a highly ordered G-quadruplex (G4) secondary structure which presents a novel therapeutic anti-HBV target. Method Using phage display technologies, we have identified 11 G-quadruplex binding single domain antibodies that can target the G4 present within the cccDNA. Using recombinant protein expression we characterized the strongest binder (S10) and its interaction with a 22nt HBV pre-Core G-quadruplex forming oligo. Using MicroScale Thermophoresis (MST), the binding affinity (KD) between S10 and the target G4 was determined to be ~218 nM, which is 100x stronger for folded G4 versus unfolded oligos of the same sequence. Using oligos of (~60-90%) sequence similarity, it was observed that S10 has a KD for the target G4 that was at least 10x higher than similar sequences. To determine the effect of S10 on HBV replication, we have transduced the HepG2-NTCP-A3 cell line to express these sdAbs and are in the process of evaluating antiviral effects and target specificity for cccDNA. Result(s) Using biophysical in-vitro approaches, S10 has shown a great potential in being able to discriminate against different G4’s, while having a high degree of affinity as well as high complex stability. Conclusion(s) The ability of these G4 binding single domain antibodies to discriminate between different sequences or secondary DNA structure provides an insight into how they can be exploited in future HBV therapeutic strategies. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".