摘要：A major advancement has recently occurred in the ability to predict protein secondary structure from sequence using artificialneural networks. This new accessibility to high-quality predicted structures provides a big opportunity for the protein designcommunity. It is particularly welcome for membrane protein design, where the scarcity of solved structures has been a majorlimitation of the field for decades. Here, we review the work done to date on the membrane protein design and set outestablished and emerging tools that can be used to most effectively exploit this new access to structures.