OpenFold
AlphaFold2 的开源可训练复现版本，完整保留了原始模型的训练流程与推理能力，支持从头训练和微调。 该工具由 AlQuraishi 实验室开发，促进了结构预测方法的可复现性和社区研究，广泛用于教学和方法改进。
| Property | Value |
|---|---|
| Purpose | 开源可训练的 AlphaFold2 复现框架 |
| 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
Related Tools
AlphaFold · ESMFold