Loading BioAtlas...
Loading BioAtlas...
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 Foundation Models | Biological AI Models | — |
| Subcategory | Protein Structure | Multimodal Generative Models | Protein Structure | — |
| Company | Google DeepMind | EvolutionaryScale | Baker laboratory | — |
| Access mode | Provider-specific terms | Open weights & Cloud API | Public code / project terms | — |
| Licence conditions | Code and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here. | EvolutionaryScale Open Model License (1.4B) / Commercial Cloud API | Review the linked release, model weights, datasets and service terms separately | — |
| Compute requirements | H100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes. | 1x A100 GPU (1.4B open model) to multi-node H100 clusters (98B model) | Consult linked installation guidance; workload dependent | — |
| Biological application | Non registrato | De novo protein generation, motif scaffolding, and functional sequence design | Non registrato | — |
| Research workflow | Predict biomolecular structures | Structure & function generation from biological prompts | Non registrato | — |
| Evidence level | Provider-tested configuration | Peer-reviewed research and experimental wet-lab validation (Science 2024) | Project or provider documentation; no local performance benchmark | — |
| Commercial eligibility | Not independently confirmed | Commercial API & enterprise licenses available; non-commercial for open weights | Not independently confirmed | — |
| Price | See provider terms | Free open weights (1.4B) / Paid enterprise API | See project terms; compute costs may apply | — |
| Availability ⓘ | Check provider access requirements | Globally available via AWS Bedrock and EvolutionaryScale API | See project access and maintenance status | — |
| Features | Biomolecular structure prediction, Local inference pipeline | Simultaneous multimodal generation across sequence, coordinates, and secondary structure, Promptable with structural motifs, active site geometries, or sequence fragments, Demonstrated de novo generation of fluorescent proteins with 500M years of divergent evolution, Available in 1.4B open weights, 7B, and 98B parameter frontier configurations | Structure modeling of proteins with molecular partners, Input: Sequences and configured nucleic-acid or small-molecule inputs, Output: Predicted biomolecular complex coordinates | — |
| Entry type | Software / platform | AI Model | Research software / model | — |
| AI role | AI / computational workflow | Multimodal Generative AI | Scientific machine learning | — |
| Input data | Non registrato | Non registrato | Sequences and configured nucleic-acid or small-molecule inputs | — |
| Output data | Non registrato | Non registrato | Predicted biomolecular complex coordinates | — |
| Validation | Non registrato | Non registrato | Evaluate on representative data; no clinical suitability established | — |
| Type | Structure prediction model | Generative protein language & structure model | Non registrato | — |
| Intended use | Non registrato | Non registrato | Biological and pharmaceutical research | — |
| Compatibility | Non registrato | Non registrato | Non registrato | — |
| Access ⓘ | See code licence and model parameter terms | Non registrato | Non registrato | — |
| Integration evidence | https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md | https://www.evolutionaryscale.ai/blog/esm-3-release | 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. | Output FASTA sequences can be sent directly to gene synthesis vendors (Twist, IDT) | Non registrato | — |
| Manufacturer | Non registrato | EvolutionaryScale | Non registrato | — |
| Limitations | Non registrato | Non registrato | Correct chemical inputs and model-specific preprocessing are essential; binding is not experimentally established. | — |