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مقایسه شاخبهشاخ مدلهای زیستی، موتورهای داکینگ و پایپلاینهای محاسباتی. فیلتر بر اساس مدل دسترسی، مصرف پردازشی و دستهبندی جهت اخذ تصمیم دقیق در کمتر از یک دقیقه.
| مشخصه | ＋ افزودن ابزار | |
|---|---|---|
| Category | Biological AI Models | — |
| Subcategory | Protein Design | — |
| Company | LigandMPNN authors | — |
| Access mode | Public code / project terms | — |
| Licence conditions | Review the linked release, model weights, datasets and service terms separately | — |
| Compute requirements | Consult linked installation guidance; workload dependent | — |
| Biological application | ثبتنشده | — |
| Research workflow | ثبتنشده | — |
| Evidence level | Project or provider documentation; no local performance benchmark | — |
| Commercial eligibility | Not independently confirmed | — |
| Price | See project terms; compute costs may apply | — |
| Availability ⓘ | See project access and maintenance status | — |
| Features | Protein sequence design using ligand and atomic context, Input: Protein backbone coordinates and context atoms, Output: Designed amino-acid sequences and optional side-chain packing | — |
| Entry type | Research software / model | — |
| AI role | Scientific machine learning | — |
| Input data | Protein backbone coordinates and context atoms | — |
| Output data | Designed amino-acid sequences and optional side-chain packing | — |
| Validation | Evaluate on representative data; no clinical suitability established | — |
| Type | ثبتنشده | — |
| Intended use | Biological and pharmaceutical research | — |
| Compatibility | ثبتنشده | — |
| Limitations | Designed sequences need expression and functional testing; not every ligand context is supported equally. | — |