Loading BioAtlas...
Loading BioAtlas...
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 Foundation Models | — |
| Subcategory | Protein Language Models | — |
| Company | University of Bayreuth | — |
| Access mode | Open Source | — |
| Licence conditions | Apache 2.0 | — |
| Compute requirements | Standard GPU or multi-core CPU for inference | — |
| Biological application | De novo protein sequence generation and enzyme design | — |
| Research workflow | Prompt with motif or sample unconditionally -> evaluate folding with AlphaFold/ESMFold | — |
| Evidence level | Peer-reviewed research (Nature Communications 2022) | — |
| Commercial eligibility | Open source release | — |
| Price | Free Open Source | — |
| Availability ⓘ | Available on Hugging Face and GitHub | — |
| Features | Autoregressive unconditional and conditional sequence generation, Produces sequences with natural secondary structure propensities and globular folding, Trained on UniRef50 with zero structural supervision required, Available on Hugging Face Model Hub with straightforward pipeline inference | — |
| Entry type | AI Model | — |
| AI role | Generative Sequence Modeling | — |
| Input data | 未明确记录 | — |
| Output data | 未明确记录 | — |
| Validation | 未明确记录 | — |
| Type | Autoregressive protein transformer | — |
| Intended use | 未明确记录 | — |
| Compatibility | 未明确记录 | — |
| Manufacturer | University of Bayreuth | — |
| Integration evidence | https://huggingface.co/nferruz/ProtGPT2 | — |
| Laboratory handoff | Synthesized sequences experimentally confirmed to adopt stable folds | — |