OmegaFold
基于蛋白质语言模型和端到端几何建模的结构预测方法，可直接从单条氨基酸序列快速推断三维构象。 该方法无需多序列比对即可获得具有竞争力的预测精度，适合大规模蛋白质结构筛查和快速注释场景。
| Property | Value |
|---|---|
| Purpose | 基于单序列语言模型进行快速蛋白质结构预测 |
| Time Complexity | O(n^2) |
| Space Complexity | O(n^2) |
| Year | 2022 |
| 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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ESMFold · AlphaFold · RoseTTAFold