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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 | 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 | Not recorded | De novo protein generation, motif scaffolding, and functional sequence design | Not recorded | — |
| Research workflow | Predict biomolecular structures | Structure & function generation from biological prompts | Not recorded | — |
| 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 | Not recorded | Not recorded | Sequences and configured nucleic-acid or small-molecule inputs | — |
| Output data | Not recorded | Not recorded | Predicted biomolecular complex coordinates | — |
| Validation | Not recorded | Not recorded | Evaluate on representative data; no clinical suitability established | — |
| Type | Structure prediction model | Generative protein language & structure model | Not recorded | — |
| Intended use | Not recorded | Not recorded | Biological and pharmaceutical research | — |
| Compatibility | Not recorded | Not recorded | Not recorded | — |
| Access ⓘ | See code licence and model parameter terms | Not recorded | Not recorded | — |
| Integration evidence | https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md | https://www.evolutionaryscale.ai/blog/esm-3-release | Not recorded | — |
| 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) | Not recorded | — |
| Manufacturer | Not recorded | EvolutionaryScale | Not recorded | — |
| Limitations | Not recorded | Not recorded | Correct chemical inputs and model-specific preprocessing are essential; binding is not experimentally established. | — |