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Vergleichen Sie biologische Modelle, Docking-Engines und Berechnungs-Workflows Seite an Seite. Filtern Sie nach Zugangsmodell, Rechenbedarf und Kategorie, um in unter einer Minute zu einer verwertbaren Entscheidungstabelle zu gelangen.
| Attribut | ＋ Werkzeug hinzufügen | |||
|---|---|---|---|---|
| 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 | DeepChem contributors | Research / method authors | Research / method authors | — |
| Access mode | Public code | Confirm distribution and exact release | Confirm distribution and exact release | — |
| Licence conditions | Check library, model and dataset terms | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Version and workload dependent; not independently benchmarked | Version and data dependent | Version and data dependent | — |
| Biological application | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Research workflow | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Evidence level | Project documentation; no local benchmark | PEER_REVIEWED_METHOD_OR_CONFERENCE | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Confirm exact code, weights and data terms | NOT_INDEPENDENTLY_AUDITED | NOT_INDEPENDENTLY_AUDITED | — |
| Price | See access and licence terms | Verify access and licence | Verify access and licence | — |
| Availability ⓘ | Public code | Method paper or official documentation | Method paper or official documentation | — |
| Features | Deep learning tools for scientific research, Documented research workflow | 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 / model | Classical/statistical scientific method | Classical/statistical scientific method | — |
| AI role | Machine-learning software | NON_AI_CLASSICAL | NON_AI_CLASSICAL | — |
| Input data | Scientific datasets and model configuration | Query sequences or profile HMM and sequence database | Amino acid queries and reference sequence database | — |
| Output data | Model-dependent predictions and evaluations | Profile HMM hits and statistical homology significance | Sequence matches, clusters and alignment results | — |
| Validation | Evaluate on representative held-out data | Published method scope; no independent BioAtlas execution or benchmark | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Intended use | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |
| Compatibility | Nicht erfasst | Nicht erfasst | Nicht erfasst | — |