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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 | Biological AI Models | — |
| Subcategory | Protein Structure | Protein Design | Protein Structure | Protein Design | — |
| Company | Google DeepMind | RosettaCommons / Baker Lab | Chai Discovery | ProteinMPNN authors | — |
| Access mode | Provider-specific terms | Public code | Public code / project terms | Public code | — |
| Licence conditions | Code and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here. | Check repository licence and checkpoint terms | Review the linked release, model weights, datasets and service terms separately | Check code, dependencies and model terms | — |
| Compute requirements | H100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes. | Version and workload dependent; not independently benchmarked | Consult linked installation guidance; workload dependent | Version and workload dependent; not independently benchmarked | — |
| Biological application | Non registrato | Non registrato | Non registrato | Non registrato | — |
| Research workflow | Predict biomolecular structures | Non registrato | Non registrato | Non registrato | — |
| Evidence level | Provider-tested configuration | Project documentation; no local benchmark | Project or provider documentation; no local performance benchmark | Project documentation; no local benchmark | — |
| Commercial eligibility | Not independently confirmed | Confirm exact code, weights and data terms | Not independently confirmed | Confirm exact code, weights and data terms | — |
| Price | See provider terms | See access and licence terms | See project terms; compute costs may apply | See access and licence terms | — |
| Availability ⓘ | Check provider access requirements | Public code | See project access and maintenance status | Public code | — |
| Features | Biomolecular structure prediction, Local inference pipeline | Diffusion-based protein backbone design, Documented research workflow | Biomolecular complex structure prediction, Input: Protein and nucleic-acid sequences, ligand descriptions and optional restraints, Output: Predicted molecular complex structures | Protein sequence design from structure, Documented research workflow | — |
| Entry type | Software / platform | Research software / model | Research software / model | Research software / model | — |
| AI role | AI / computational workflow | Machine-learning software | Scientific machine learning | Machine-learning software | — |
| Input data | Non registrato | Design constraints and optional structural motifs | Protein and nucleic-acid sequences, ligand descriptions and optional restraints | Protein backbone structures | — |
| Output data | Non registrato | Designed protein backbones | Predicted molecular complex structures | Candidate amino-acid sequences | — |
| Validation | Non registrato | Evaluate on representative held-out data | Evaluate on representative data; no clinical suitability established | Evaluate on representative held-out data | — |
| Type | Structure prediction model | Non registrato | Non registrato | Non registrato | — |
| Intended use | Non registrato | Non registrato | Biological and pharmaceutical research | Non registrato | — |
| Compatibility | Non registrato | Non registrato | Non registrato | Non registrato | — |
| Access ⓘ | See code licence and model parameter terms | Non registrato | Non registrato | Non registrato | — |
| Integration evidence | https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md | Non registrato | Non registrato | Non registrato | — |
| Laboratory handoff | Editorial next step: select an appropriate structural or functional validation assay with the research team. No direct instrument integration has been verified. | Non registrato | Non registrato | Non registrato | — |
| Limitations | Non registrato | Non registrato | Complex size affects memory needs; this record covers Chai-1 rather than later company models. | Non registrato | — |