AlphaFold
基于深度学习的蛋白质结构预测算法，使用注意力机制和进化信息预测蛋白质三维结构。 该方法在 CASP14 竞赛中取得突破性成果，预测精度接近实验测定水平。
| Property | Value |
|---|---|
| Purpose | 从氨基酸序列预测蛋白质三维结构 |
| Time Complexity | O(n^2) |
| Space Complexity | O(n^2) |
| Year | 2021 |
| Category | Protein Structure Prediction |
Complexity Analysis
- Time Complexity:
O(n^2) - Space Complexity:
O(n^2)
Performance Insight: The time complexity of this algorithm is quadratic (O(n²)), suitable for moderate data sizes; consider approximation algorithms for large inputs. High space complexity; consider Hirschberg-style space-optimized variants for very long sequences.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
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ColabFold · ESMFold · RoseTTAFold