How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
About five million deaths in 2021 were associated(opens in a new window) with bacterial antimicrobial resistance—an annual toll projected to roughly double by 2050. It can take years to find molecules with the potential to become antimicrobials. Researchers are using AI to accelerate this early stage of discovery.“Antimicrobial resistance is one of the greatest existential threats to humanity in my opinion,” said César de la Fuente(opens in a new window), a bioengineer whose cross-disciplinary lab searches for antimicrobial candidates.
- ▪About five million deaths in 2021 were associated(opens in a new window) with bacterial antimicrobial resistance—an annual toll projected to roughly double by 2050.
- ▪It can take years to find molecules with the potential to become antimicrobials.
- ▪Researchers are using AI to accelerate this early stage of discovery.“Antimicrobial resistance is one of the greatest existential threats to humanity in my opinion,” said César de la Fuente(opens in a new window), a bioengineer whose cross
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Record
| Original publisher | OpenAI News |
| Canonical URL | https://openai.com/index/using-codex-chatgpt-to-search-for-new-antimicrobials |
| Publication time | Thu, 10 Sep 2026 16:00:00 GMT |
| Retrieval time | 2026-09-10T16:16:13.641Z |
| Last seen | 2026-09-10T16:16:13.641Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
September 10, 2026Applied AIHow a researcher uses Codex and ChatGPT to search for new antimicrobial moleculesCésar de la Fuente and his lab probe the genomes of living and extinct organisms for molecules that could help fight drug-resistant infections.Loading…ShareExploring biology’s unread spacesExploring biology’s unread spacesA continually evolving collaboratorExploring biology’s unread spacesA continually evolving collaboratorDrug-resistant microbes including bacteria, fungi, parasites, and viruses are a growing global threat. About five million deaths in 2021 were associated(opens in a new window) with bacterial antimicrobial resistance—an annual toll projected to roughly double by 2050. It can take years to find molecules with the potential to become antimicrobials.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI News.
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