Tag: Synthetic Biology

This article demonstrates the advances in systems biology, as led by [Person mentioned in the article], to uncover key details of yeast species. With the help of [company mentioned in the article], machine learning and comparative genomics tools have been employed to understand enzymes, gene essentiality, protein production and horizontal gene transfers. This pioneering work will further our knowledge of cell metabolism and enable the production of new, valuable commodities.

Uncovering the mystery of how proteins interact and function just got easier with the development of MaSIF. Led by Bruno Correia, a team of scientists from the University of California's Joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI) developed a machine-learning powered method to analyze and map protein surface structures faster than ever before. Helping to bridge the gap between potential and reality, the process allows for the efficient engineering of high-affinity binders with applications in epidemiological responses and cancer therapy.