Recently, PhD student Zhang Yuming won the first prize in the “AI4S Cup – Predicting the Relationship Between Enzyme Function and Mutant Sequences.” This competition was jointly organized by the Beijing Academy of Science and Technology and the Shenzhen Advanced Technology Institute of the Chinese Academy of Sciences, aiming to promote the application of artificial intelligence technology in the field of bio-manufacturing.
The competition focused on the targeted modification and optimization of RhlA, a key enzyme in the production of biosurfactants. Participants were required to use machine learning and deep learning techniques to construct accurate models for predicting the relationship between RhlA sequences and their functions.
Zhang Yuming successfully developed a highly accurate predictive model by combining methods of key residue selection and protein language models, showcasing the potential of artificial intelligence in bio-manufacturing.
This achievement not only affirms Zhang Yuming’s individual capabilities but also reflects our laboratory’s ongoing exploration of applying computational methods to bioengineering challenges. We hope this success will provide new insights for future research and advance the development of bio-manufacturing technologies.