ProtTrans
基于多种 Transformer 架构（T5、BERT、XLNet 等）的蛋白质语言模型集合， 在 UniRef 和 BFD 等大规模数据库上预训练。该模型可生成高质量的蛋白质 序列表征，支持迁移学习用于各种下游任务。
| Property | Value |
|---|---|
| Purpose | 多架构蛋白质语言模型预训练表征 |
| Time Complexity | O(n^2 * d) |
| Space Complexity | O(n^2) |
| Year | 2021 |
| Difficulty | Intermediate |
| Languages | Python |
| Category | Protein Language Model |
Complexity Analysis
- Time Complexity:
O(n^2 * d) - Space Complexity:
O(n^2)
Performance Insight: The time complexity of this algorithm is polynomial. 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
ESM-2 · Ankh · ProtGPT2