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Compare biological models, docking engines, and computational workflows side-by-side. Filter by access model, compute footprint, and category to reach an actionable decision table in under a minute.
| Attribute | ＋ Add tool | |
|---|---|---|
| Category | AI Drug Discovery | — |
| Subcategory | Molecular Docking | — |
| Company | BenevolentAI / DeeplyTough 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 | Not recorded | — |
| Research workflow | Not recorded | — |
| 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 | Learned comparison of protein binding-site structures, Input: Prepared protein binding-site structures, Output: Pocket representations and similarity comparisons | — |
| Entry type | Research software / framework | — |
| AI role | Scientific machine learning | — |
| Input data | Prepared protein binding-site structures | — |
| Output data | Pocket representations and similarity comparisons | — |
| Validation | Not recorded | — |
| Type | Not recorded | — |
| Intended use | Biological and pharmaceutical research | — |
| Compatibility | Not recorded | — |
| Limitations | A binding-site comparison tool, not a ligand pose generator; legacy dependencies may need maintenance. | — |