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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 | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | Scientific ML Libraries & Supporting Tools | — |
| Subcategory | Supporting Cheminformatics | Conventional or Statistical Baselines | Conventional or Statistical Baselines | — |
| Company | ODDT 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 the linked release, model weights, datasets and service terms separately | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Consult linked installation guidance; workload dependent | Version and data dependent | Version and data dependent | — |
| Biological application | Non registrato | Non registrato | Non registrato | — |
| Research workflow | Non registrato | Non registrato | Non registrato | — |
| Evidence level | Project or provider documentation; no local performance 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 access and maintenance status | Method paper or official documentation | Method paper or official documentation | — |
| Features | Python tooling for cheminformatics and molecular modeling, Input: Molecular structures and configured analysis tasks, Output: Descriptors and molecular-analysis results | 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 | Supporting software | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Supporting analysis; not an AI model | NON_AI_CLASSICAL | NON_AI_CLASSICAL | — |
| Input data | Molecular structures and configured analysis tasks | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | — |
| Output data | Descriptors and molecular-analysis results | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | — |
| Validation | Evaluate on representative data; no clinical suitability established | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Non registrato | Non registrato | Non registrato | — |
| Intended use | Biological and pharmaceutical research | Non registrato | Non registrato | — |
| Compatibility | Non registrato | Non registrato | Non registrato | — |
| Limitations | A modular toolkit rather than a single AI model; downstream scoring needs task-specific validation. | Non registrato | Non registrato | — |