Deep learning enhances accuracy and efficiency in protein structure prediction.

A peer-reviewed review published in MedComm - Future Medicine explores the impact of deep learning techniques on protein structure prediction, led by Dr. Xi Yu and Dr. Tian Zhong from Macau University of Science and Technology. The review discusses the evolution from traditional computational methods to modern deep learning models like AlphaFold 3, which have significantly improved the accuracy and efficiency of protein prediction. Deep learning technology is seen as a game-changer in protein structure prediction, offering unprecedented accuracy and potential for drug development and disease research. [Extracted from the article]