Deconstructing natural products to develop synthetic small molecule attachment inhibitors with broad spectrum antiviral activity
Bibliographic record
Abstract
ABSTRACT The continuous emergence of new viruses and the number of viruses that are each highly consequential for few people raise a need for broad spectrum antivirals. Most human and emerging viruses first attach to cellular glycosaminoglycans (GAG) or sialylated glycans (SG), a potential target for broad spectrum antivirals. Attachment to the former is through polar interactions between the negatively charged glycans and positively charged domains in virion proteins and typically inhibited by negatively charged polymers. Attachment to the latter is through specific interactions at binding pockets and inhibited by molecules that bind to these pockets. Surprisingly, EGCG inhibits viruses that attach to GAG and SG. However, it does so with widely differing potencies, is not a pharmacologically desirable molecule, and is limited by solubility. We tested whether it was possible to develop small synthetic molecules to inhibit viruses that attach to SG or GAG. We first identified the EGCG moieties responsible for the antiviral activity. The two polyhydroxylated phenyl groups were essential while the central benzopyran linker was not. We thus designed a series of gallate compounds to explore the minimal pharmacophore required for broad-spectrum antiviral activity. By exploring the linkers and number of galloyls, we identified small molecule inhibitors of herpes simplex virus 1, influenza A virus, and the coronaviruses hCoV OC43 and SARS-CoV-2. These compounds have low micromolar to submicromolar potency and no limiting cytotoxicity. These molecules are still not pharmacologically optimized and limited by solubility, but they define a minimal pharmacophore that confers broad spectrum antiviral activity. Importance The SARS-CoV-2 pandemic demonstrated the importance of antivirals in managing emerging viruses. Although vaccines were successfully developed in less than two years, there was resistance to vaccination while infected or sick people were far more willing to take antivirals. It is impossible to develop antivirals specific for unknown viruses, but broad spectrum antivirals could control viral spread until more specific and potent drugs are developed. Human pathogenic and emerging viruses commonly attach to glycans, providing a target for broad spectrum antivirals. However, inhibitors of attachment to glycosaminoglycans do not typically inhibit viruses attaching to sialylated glycans, and vice-versa. We had found that EGCG has the unique property of inhibiting viruses that attach both glycans, with quite different potencies. Here, deconstructed a natural compound, EGCG, to identify the moieties responsible for its antiviral activity to then produce broad spectrum antiviral compounds against established and emerging viruses that attach to either glycan.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".