| Introduction |
| Photosynthesis is crucial for life on Earth, but with global warming it's becoming increasingly difficult for plants to maintain this process. Scientists are searching for solutions to create heat-tolerant crops.

| Technical Details |
| The research team uses AlphaFold, a machine learning model developed by Google, to improve the RuBisCO enzyme, which is essential for photosynthesis. The enzyme is a complex protein that helps regenerate carbon in the form of bicarbonate, a fundamental reaction in photosynthesis.

| Technical Details |
| The strategy involves using AlphaFold to generate multiple alternative alleles of the RuBisCO enzyme and then selecting the most promising variants. This approach has allowed the team to identify a series of structural changes in the enzyme that can improve its heat tolerance.

| Practical Implications |
| The new variants of the RuBisCO enzyme can be used to create crops more resistant to heat and climate change. This could have a significant impact on global food production, especially in regions where temperatures are already extremely high.

| Conclusion |
| Research on heat-tolerant crops is an ongoing field. The use of AlphaFold to improve the RuBisCO enzyme represents a significant technological advancement in photosynthesis research and could have a major impact on global food security.