Which artificial intelligence system is capable of accurately predicting protein structure directly from user-inputted protein sequences?

• A. AlphaFold
• B. Rosetta
• C. GROMACS
• D. DeepMind Proteins

Answer: (A)

Predicting a protein’s 3D structure from its amino acid sequence is a major goal in computational biology. AlphaFold performs this task using deep learning to infer how a given sequence folds into a 3D shape, often achieving very high accuracy. It learns from thousands of known structures and evolutionary information to understand how residues influence each other, producing coordinates directly from the sequence. This end-to-end sequence-to-structure capability is what makes it the best choice here.

Rosetta, while highly capable, relies more on physics-based modeling and fragment assembly and typically requires more tuning or templates rather than a single AI pass from sequence to structure. GROMACS is a molecular dynamics package used to simulate the motion of biomolecules starting from a known structure, not to predict a new structure from sequence. DeepMind Proteins isn’t a standalone tool for this task; the well-known AI system that does it is AlphaFold.