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Generative AI Leader Practice Question: Which Google DeepMind achievement is recognized…
Which Google DeepMind achievement is recognized for predicting protein structures and advancing drug discovery?
⚠ Common exam trap
The Generative AI Leader exam often tests the distinction between domain-specific AI achievements (like AlphaFold for biology) versus general-purpose AI models (like Gemini) or game-playing AI (like AlphaGo), so candidates may confuse the application area of each DeepMind project.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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AlphaFold
AlphaFold is the correct answer because it is a groundbreaking AI system developed by Google DeepMind that predicts the 3D structure of proteins from their amino acid sequences with atomic-level accuracy. This achievement has revolutionized computational biology by solving a 50-year-old grand challenge in molecular biology, enabling significant advances in drug discovery, enzyme design, and understanding disease mechanisms.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AlphaFold
Why this is correct
AlphaFold, developed by Google DeepMind, predicts three-dimensional protein structures from amino acid sequences using deep learning. Accurate structure prediction accelerates drug discovery by revealing binding sites and protein interactions that previously required costly laboratory methods such as crystallography.
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AlphaGo
Why it's wrong here
AlphaGo mastered the board game Go through reinforcement learning and self-play, with no biological application. It is tempting because it is DeepMind's most famous milestone, but protein structure prediction and drug discovery are AlphaFold's domain, recognised through CASP assessments and widespread use in structural biology.
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Gemini
Why it's wrong here
Gemini is Google's multimodal large language model family for text, image and code tasks, not a protein-folding system. It is tempting because it is a headline Google AI product, but protein structure prediction and drug discovery are AlphaFold's achievement, validated at CASP and adopted across pharmaceutical research.
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AlphaCode
Why it's wrong here
AlphaCode generates competitive-programming solutions, demonstrating code synthesis rather than structural biology. It is tempting because it is a well-known DeepMind system, but protein structure prediction and drug discovery belong to AlphaFold, whose folding predictions were validated at CASP and adopted widely in pharmaceutical research.
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