Question 1

True or false: AlphaFold was developed by DeepMind, the same company behind the Go-playing AI AlphaGo.

Accepted Answer

True. DeepMind created both AlphaFold and AlphaGo, though AlphaFold uses different deep learning techniques for biology.

Question 2

True or false: AlphaFold can predict a protein's 3D shape from its amino acid sequence with atomic-level accuracy.

Accepted Answer

True. AlphaFold achieves near-experimental accuracy, rivaling methods like X-ray crystallography and cryo-EM in many cases.

Question 3

True or false: AlphaFold solved the 50-year-old 'protein folding problem' completely, ending all research in the field.

Accepted Answer

False. While a breakthrough, AlphaFold doesn't solve all aspects—like folding dynamics or membrane proteins—and research continues.

Question 4

True or false: AlphaFold only predicts protein structures for human proteins, not other species.

Accepted Answer

False. AlphaFold predicts structures for proteins from many organisms, including bacteria, plants, and viruses, not just humans.

Question 5

True or false: In 2022, AlphaFold's database expanded to over 200 million predicted protein structures, covering most known proteins.

Accepted Answer

True. The AlphaFold Protein Structure Database released over 200 million structures in July 2022, representing predictions for almost all catalogued proteins across many species.

Question 6

True or false: AlphaFold can predict protein complexes, such as how two or more proteins interact, with perfect accuracy.

Accepted Answer

False. AlphaFold-Multimer improves complex prediction but isn't perfect—it struggles with large or highly flexible complexes.

Question 7

True or false: AlphaFold has been used to predict protein structures of pathogens causing neglected tropical diseases, such as Chagas disease and leishmaniasis.

Accepted Answer

True. DeepMind's AlphaFold was utilized by the Drugs for Neglected Diseases initiative (DNDi) to map protein structures of Leishmania and Trypanosoma cruzi, advancing drug discovery for neglected tropical diseases.

Question 8

True or false: AlphaFold was trained using only experimental structures from the Protein Data Bank, no synthetic data.

Accepted Answer

False. AlphaFold used self-distillation, training on its own predicted structures (synthetic data) in addition to PDB structures.

AlphaFold Trivia Questions