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# Measuring AI’s capability to accelerate biological research in the wet lab

**[OpenAI](https://daily.dev/sources/openai)** · 14 min read · 0 upvotes · 1 comments

## Summary

OpenAI used GPT-5 in a controlled wet lab setting to autonomously optimize a molecular cloning protocol, achieving a 79x improvement in cloning efficiency over the baseline HiFi Gibson assembly. The model proposed a novel enzymatic mechanism called RAPF-HiFi, combining RecA recombinase and phage T4 gp32 protein in a way not previously used together in molecular biology methods. A separate one-shot optimization of the bacterial transformation step yielded an additional 30x efficiency gain through a simple cell concentration technique. The work was conducted in partnership with biosecurity startup Red Queen Bio, with a robotic system also tested to automate protocol execution. OpenAI frames this as an early demonstration of AI-accelerated science while acknowledging biosecurity implications and the need for safeguards.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://openai.com/index/accelerating-biological-research-in-the-wet-lab>

## Questions this post answers

### How much did GPT-5 improve the efficiency of a molecular cloning protocol in a real wet lab experiment?

GPT-5 improved end-to-end cloning efficiency 79-fold in a controlled wet-lab evaluation built with biosecurity startup Red Queen Bio. Working from a HiFi/Gibson assembly baseline, the model proposed batches of reactions over multiple rounds, with human scientists only executing protocols and uploading results, and no human guidance beyond clarifying questions.

_Anyone tracking how far AI agents can go beyond code can follow lab-science experiments like this on daily.dev._

### What novel enzymatic mechanism did GPT-5 discover for improving Gibson assembly cloning?

GPT-5 devised RAPF-HiFi, a procedure that adds RecA recombinase from E. coli and phage T4 gp32 single-stranded DNA-binding protein to a standard HiFi/Gibson assembly reaction. Gp32 smooths and detangles single-stranded DNA ends while RecA guides matching strands together at 37°C, before returning to 50°C to complete assembly, boosting efficiency over 2.5-fold on top of baseline HiFi gains.

_Readers following novel AI-generated scientific mechanisms can keep up with cases like this on daily.dev._

### What simple change to bacterial transformation protocols gave the biggest efficiency gain in GPT-5's cloning experiments?

Pelleting chemically competent E. coli cells, removing half the supplied volume, and resuspending them before adding DNA, all at 4°C, was the most effective of 13 AI-proposed one-shot transformation modifications, boosting transformation efficiency more than 30-fold. This was unexpected because high-efficiency competent cells are typically considered fragile and such concentrated handling is usually avoided.

_Developers curious how AI-proposed lab protocol tweaks get validated can follow similar experiments on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@mariacristinacapizzi** · 0 upvotes

> Fluorescence western blot, blocking with BSA

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---

Tags: [#gpt](https://daily.dev/tags/gpt)

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