Nature has “gifted” us proteins that carry out a vast array of functions in cells, shaping the lives of all organisms, ecosystems, and ultimately the planet. In the age of synthetic biology, researchers are pushing beyond the catalogue of naturally evolved proteins by redesigning or even de novo designing proteins to make them more suitable for human goals—improving function, stability, specificity, manufacturability, or even creating entirely new capabilities. Artificial intelligence is becoming an important ally in transforming protein engineering from a trial-and-error process into a more predictive discipline, where deep learning models help predict the structure and function of a novel protein directly from its sequence. This enables faster generation and optimization of sequences for desired functions and reduces expensive and time-consuming wet-lab cycles.

Disclaimer:

Sources