OpenAI released the first biological data AI model GPT-4b micro, aiming to help humans extend their lifespan by 10 years. Developed in partnership with Retro Biosciences, the model focuses on improving "Yamanaka factors" - a group of proteins that convert mature cells into stem cells. Traditional methods are inefficient, but GPT-4b micro analyzes a large amount of protein data to generate an improved plan. Preliminary experiments show that the effect is improved by more than 50 times. This research is expected to open up new avenues for cell reprogramming technology.
Additional information:
Yamanaka factors: Yamanaka factors are a group of transcription factors (proteins) discovered by Japanese scientist Shinya Yamanaka. They are able to reprogram mature somatic cells into induced pluripotent stem cells (iPS cells), which have embryonic stem cell-like pluripotency and can differentiate into various cell types. This discovery won the 2012 Nobel Prize in Physiology or Medicine.
Cell Reprogramming: Cell reprogramming is the process of converting one type of cell into another type of cell. Reprogramming using Yamanaka factors is currently one of the most commonly used methods, but the efficiency has not been high. Improving reprogramming efficiency is of great significance for regenerative medicine, disease treatment and anti-aging research.
Features of GPT-4b micro: Unlike AlphaFold, which focuses on predicting protein structure, GPT-4b micro focuses more on protein function optimization and proposes improvement plans by analyzing protein sequence and interaction information.
Partner Retro Biosciences: This is a biotechnology company focusing on anti-aging research. It was co-founded by Professor Ding Sheng. Its team has rich experience in the field of cell reprogramming.