Recent advances in deep learning, notably through the AlphaFold initiative, have made it possible to accurately predict protein three-dimensional structures directly from their amino acid sequences at near-atomic resolution.
All relevant papers confirm the high accuracy and effectiveness of deep-learning approaches in predicting 3D protein structures from primary amino acid sequences, leading to a verdict of SUPPORTED with no contradicting evidence in the provided literature.