Model type
Study-specific predictive method; this record is the paper-specific evaluated configuration.
Configuration
DeepInterAware
DeepInterAware predicts antigen–antibody interactions from sequence representations and learned interface features.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Body (paragraph 1)How it worksEvaluated procedure (conceptual)
Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1)At a glance
Biological inputs
Antigen and antibody amino-acid sequences
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner (paragraph 4)Outputs
Interaction predictions, with additional binding-site and mutation analyses in the study
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction (paragraph 1); Experimental Section/Experimental Setting—Baseline Methods (paragraph 1)limited source coverage · Automated source review, 2026-09-16. All specifications and missing details
Evaluations and results
Release 2026-09-17-d277315f7d76 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| DeepInterAware: antigen-antibody HIV neutralization prediction Configuration: DeepInterAwareTask: antigen-antibody HIV neutralization predictionDataset: HIV neutralization Sequence-based interface-aware model, antibody-unseen split Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.826 AUROC Unit: fraction · Direction: unknown | Uncertainty: ±0.017 Scored: Not reported · Eligible: Not reported | source checkedDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Table 2, Ab Unseen section, DeepInterAware row, AUROC column Source checking is not independent reproduction. |
How it works
How the evaluated method works
ESM-2 encodes antigens and AbLang encodes antibodies. An interaction-interface learner and a specificity-information learner feed a dynamic-confidence-fusion module for the final prediction.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1)What was evaluated
The linked evaluation record identifies DeepInterAware: antigen-antibody HIV neutralization prediction. Its dataset, split, adaptation and evidence origin remain attached to the reported results.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · The named evaluation’s methods and comparison table; exact preserved evaluation IDs: evaluation-lit-b4-022Strengths and limitations
Strengths and considerations
- The evaluation separates unseen-antibody, unseen-antigen and jointly unseen settings.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Experimental Section/Problem Formulation (paragraph 1)
Limitations and conditions
- Sequence-derived interface features are predictions rather than experimentally resolved contacts; transfer depends on the sequence-distribution and split.
Sources
DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner (paragraph 5); Experimental Section/DeepInterAware Architecture—Specificity Information Learner (paragraph 1)
Profile review details
Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.
Stable record: reported-model-8d2c291733dfe1Specifications
Inputs, training, access and other details
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Study-specific predictive method; this record is the paper-specific evaluated configuration.SourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) |
| Architecture / procedure | ESM-2 encodes antigens and AbLang encodes antibodies. An interaction-interface learner and a specificity-information learner feed a dynamic-confidence-fusion module for the final prediction.SourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) |
| Biological inputs | Antigen and antibody amino-acid sequencesSourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner (paragraph 4) |
| Outputs | Interaction predictions, with additional binding-site and mutation analyses in the studySourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction (paragraph 1); Experimental Section/Experimental Setting—Baseline Methods (paragraph 1) |
| Parameters | An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. · Not reported in inspected sourcesSources (2)DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data; BioMedicalBigDataMiningLab/DeepInterAware README.md · Results/DeepInterAware Outperforms the State‐of‐the‐Art Methods in Antigen–Antibody Interaction Predction; Experimental Section/DeepInterAware Architecture; Experimental Section/DeepInterAware Architecture—Sequence Encoder; Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner; Experimental Section/DeepInterAware Architecture—Specificity Information Learner; Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction; Experimental Section/DeepInterAware Architecture—Model Training; Experimental Section/Experimental Setting—Datasets; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision |
| Known versions / configuration | DeepInterAware is the comparison-table label; that label does not specify an immutable weight revision. · Not reported in inspected sourcesSourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Model identification in the comparison table and corresponding Methods; immutable checkpoint revision is not supplied by the table label. |
| Training data / fitting | Antigen–antibody interaction datasets include HIV training and subsequent CoV-AbDab fine-tuning; splits separately hold out antibodies, antigens, or both.SourcesDeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Experimental Section/Problem Formulation (paragraph 1); Experimental Section/Problem Formulation (paragraph 2) |
| Context limits | A maximum input/context length for this exact evaluated configuration is not established by the inspected sources. · Not reported in inspected sourcesSources (2)DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data; BioMedicalBigDataMiningLab/DeepInterAware README.md · Results/DeepInterAware Outperforms the State‐of‐the‐Art Methods in Antigen–Antibody Interaction Predction; Experimental Section/DeepInterAware Architecture; Experimental Section/DeepInterAware Architecture—Sequence Encoder; Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner; Experimental Section/DeepInterAware Architecture—Specificity Information Learner; Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction; Experimental Section/DeepInterAware Architecture—Model Training; Experimental Section/Experimental Setting—Datasets; inspected for explicit maximum input length (dataset lengths and family-wide limits are not substituted); README.md at pinned repository revision |
| Access | Official study implementation and usage documentation: https://github.com/BioMedicalBigDataMiningLab/DeepInterAware/blob/11a283264fb7177f842d56d5c6b49f9bb7f10abd/README.md. This pinned documentation revision is not automatically the evaluated weight revision.SourcesBioMedicalBigDataMiningLab/DeepInterAware README.md · README.md; installation, model download and usage instructions |
| Code licence | CC BY-NC 4.0 for the DeepInterAware content and derivatives, explicitly declared in the maintained official repository.SourcesBioMedicalBigDataMiningLab/DeepInterAware README.md · README.md; License |
| Weights licence | The inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately. · Not reported in inspected sourcesSourcesBioMedicalBigDataMiningLab/DeepInterAware README.md · README.md; checkpoint/access documentation and licence scope |
Evidence table
Inspect claims, sources and review details
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
21 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Diagram caption Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings. Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram steps ["Antigen and antibody amino-acid sequences","DeepInterAware","Interaction predictions, with additional binding-site and mutation analyses in the study"] Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram title Evaluated procedure (conceptual) Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Model type Study-specific predictive method; this record is the paper-specific evaluated configuration. Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Architecture / procedure ESM-2 encodes antigens and AbLang encodes antibodies. An interaction-interface learner and a specificity-information learner feed a dynamic-confidence-fusion module for the final prediction. Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Weights licence The inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately. Individual claims | BioMedicalBigDataMiningLab/DeepInterAware README.md README.md; checkpoint/access documentation and licence scope Version: 11a283264fb7177f842d56d5c6b49f9bb7f10abd | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Biological inputs Antigen and antibody amino-acid sequences Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner (paragraph 4) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Outputs Interaction predictions, with additional binding-site and mutation analyses in the study Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction (paragraph 1); Experimental Section/Experimental Setting—Baseline Methods (paragraph 1) Version: version of record | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Parameters An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. Individual claims | DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Results/DeepInterAware Outperforms the State‐of‐the‐Art Methods in Antigen–Antibody Interaction Predction; Experimental Section/DeepInterAware Architecture; Experimental Section/DeepInterAware Architecture—Sequence Encoder; Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner; Experimental Section/DeepInterAware Architecture—Specificity Information Learner; Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction; Experimental Section/DeepInterAware Architecture—Model Training; Experimental Section/Experimental Setting—Datasets; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: version of record | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Parameters An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. Individual claims | BioMedicalBigDataMiningLab/DeepInterAware README.md Results/DeepInterAware Outperforms the State‐of‐the‐Art Methods in Antigen–Antibody Interaction Predction; Experimental Section/DeepInterAware Architecture; Experimental Section/DeepInterAware Architecture—Sequence Encoder; Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner; Experimental Section/DeepInterAware Architecture—Specificity Information Learner; Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction; Experimental Section/DeepInterAware Architecture—Model Training; Experimental Section/Experimental Setting—Datasets; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 11a283264fb7177f842d56d5c6b49f9bb7f10abd | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
2 source records and release history
- DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data · Original source · version of record
- BioMedicalBigDataMiningLab/DeepInterAware README.md · Original source · 11a283264fb7177f842d56d5c6b49f9bb7f10abd
Technical metadata and extraction receipts
Stable ID: reported-model-8d2c291733dfe1
- areas
- molecular-interactions
- entity level
- method
- version
- Not reported
- reported name
- DeepInterAware
- historical missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract
- metadata review scope
- historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
- legacy kinds
- model
- entity classification
- review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: deepinteraware-2025; source locator: Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) | Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Body (paragraph 1); ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.