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Confronta modelli biologici, motori di docking e flussi di calcolo affiancati. Filtra per modello di accesso, impronta di calcolo e categoria per ottenere una tabella decisionale attuabile in meno di un minuto.
| Attributo | ＋ Aggiungi strumento | |||
|---|---|---|---|---|
| Category | Biological AI Models | Biological AI Models | Biological AI Models | — |
| Subcategory | Protein Design | Protein Design | Protein Design | — |
| Company | RosettaCommons / Baker Lab | Pacesa Lab | Boltz Team | — |
| Access mode | Public code | Research code or publication | Research code or publication | — |
| Licence conditions | Check repository licence and checkpoint terms | Check code and model weights separately | Check code and model weights separately | — |
| Compute requirements | Version and workload dependent; not independently benchmarked | Check selected checkpoint and runtime; no GPU catalog recommendation | Check selected checkpoint and runtime; no GPU catalog recommendation | — |
| Biological application | Non registrato | Non registrato | Non registrato | — |
| Research workflow | Non registrato | Non registrato | Non registrato | — |
| Evidence level | Project documentation; no local benchmark | Peer-reviewed primary method | Primary research preprint | — |
| Commercial eligibility | Confirm exact code, weights and data terms | Unknown, requires audit | Unknown, requires audit | — |
| Price | See access and licence terms | Check selected model licence | Check selected model licence | — |
| Availability ⓘ | Public code | Public research method/code | Public research method/code | — |
| Features | Diffusion-based protein backbone design, Documented research workflow | AF2-guided optimization pipeline proposes protein binder designs for target structures., Candidate binder sequences, modeled protein complexes | Target-conditioned protein and peptide binder generation model as reported in its preprint., Binder sequence and structure candidates | — |
| Entry type | Research software / model | Research AI model / method | Research AI model / method | — |
| AI role | Machine-learning software | Published biomedical AI method | Published biomedical AI method | — |
| Input data | Design constraints and optional structural motifs | Target protein 3D coordinates; AF2/MPNN workflow and target interface constraints | Target context; design constraints | — |
| Output data | Designed protein backbones | Candidate binder sequences; modeled protein complexes | Binder sequence and structure candidates | — |
| Validation | Evaluate on representative held-out data | Requires independent dataset-specific evaluation | Requires independent dataset-specific evaluation | — |
| Type | Non registrato | Non registrato | Non registrato | — |
| Intended use | Non registrato | Non registrato | Non registrato | — |
| Compatibility | Non registrato | Non registrato | Non registrato | — |