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将生物大模型、对接计算引擎与组学管线并排横向对比。按获取方式、硬件开销及细分领域灵活筛选，在一分钟内得出客观可辩护的技术选型方案。
| 技术参数指标 | ＋ 添加工具 | |
|---|---|---|
| Category | Biological AI Models | — |
| Subcategory | Protein Design | — |
| Company | Microsoft Research / EvoDiff authors | — |
| Access mode | Public code / project terms | — |
| Licence conditions | Review code, weights, data and service terms separately | — |
| Compute requirements | See source requirements for selected configuration | — |
| Biological application | 未明确记录 | — |
| Research workflow | 未明确记录 | — |
| Evidence level | Project/provider documentation; no local benchmark | — |
| Commercial eligibility | Not independently confirmed | — |
| Price | See project terms; compute costs may apply | — |
| Availability ⓘ | See project release and maintenance status | — |
| Features | Protein sequence generation using discrete diffusion, Input: Sequence or alignment context and generation settings, Output: Candidate protein sequences | — |
| Entry type | Research software / framework | — |
| AI role | Scientific machine learning | — |
| Input data | Sequence or alignment context and generation settings | — |
| Output data | Candidate protein sequences | — |
| Validation | 未明确记录 | — |
| Type | 未明确记录 | — |
| Intended use | Biological and pharmaceutical research | — |
| Compatibility | 未明确记录 | — |
| Limitations | Generated sequences need functional and expression testing; no biological performance guarantee. | — |