ESMFold
基于蛋白质语言模型的端到端结构预测方法，使用大规模预训练的 ESM-2 模型直接从单条序列预测结构。 该方法无需多序列比对输入，推理速度比 AlphaFold 快一个数量级，适合大规模结构预测。
| Property | Value |
|---|---|
| Purpose | 基于语言模型的快速蛋白质结构预测 |
| Time Complexity | O(n^2) |
| Space Complexity | O(n^2) |
| Year | 2023 |
| 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 · OmegaFold · RoseTTAFold