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Comparez modèles biologiques, moteurs de docking et flux de calcul côte à côte. Filtrez par modèle d'accès, empreinte de calcul et catégorie pour parvenir à une table de décision exploitable en moins d'une minute.
| Attribut | ＋ Ajouter un outil | |||
|---|---|---|---|---|
| Category | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Scientific ML | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | MOSES authors and contributors | Research / method authors | Research / method authors | — |
| Access mode | Public code / project terms | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | Review code, weights, data and service terms separately | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | See source requirements for selected configuration | Version and data dependent | Version and data dependent | — |
| Biological application | Non enregistré | Non enregistré | Non enregistré | — |
| Research workflow | Non enregistré | Non enregistré | Non enregistré | — |
| Evidence level | Project/provider documentation; no local benchmark | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Not independently confirmed | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | See project terms; compute costs may apply | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | See project release and maintenance status | Method paper or official documentation | Method paper or official documentation | — |
| Features | Benchmarking platform for molecular generation models, Input: Generated molecules and reference datasets, Output: Generation quality and diversity metrics | HMMER 3 scientific method, Query sequences or profile HMM and sequence database, Profile HMM hits and statistical homology significance | MMseqs2 scientific method, Amino acid queries and reference sequence database, Sequence matches, clusters and alignment results | — |
| Entry type | Research software / framework | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Method-dependent scientific ML workflow | NON_AI_CLASSICAL | NON_AI_CLASSICAL | — |
| Input data | Generated molecules and reference datasets | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | — |
| Output data | Generation quality and diversity metrics | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | — |
| Validation | Non enregistré | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Non enregistré | Non enregistré | Non enregistré | — |
| Intended use | Biological and pharmaceutical research | Non enregistré | Non enregistré | — |
| Compatibility | Non enregistré | Non enregistré | Non enregistré | — |
| Limitations | Benchmark metrics do not establish synthesis feasibility or therapeutic activity. | Non enregistré | Non enregistré | — |