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)

1 evaluation · 1 result

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)

Overview

Model type

Study-specific predictive method; this record is the paper-specific evaluated configuration.

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)

Biological inputs

Antigen and antibody amino-acid sequences

Sources

Outputs

Interaction predictions, with additional binding-site and mutation analyses in the study

Sources

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.

Sources

BioMedicalBigDataMiningLab/DeepInterAware README.md · README.md; installation, model download and usage instructions

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: DeepInterAware	Task: antigen-antibody HIV neutralization prediction Dataset: HIV neutralization	0.826 AUROC fraction · unknown Uncertainty: ±0.017 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source DeepInterAware: antigen-antibody HIV neutralization prediction Sequence-based interface-aware model, antibody-unseen split Aggregation: Not reported DeepInterAware: 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. Release 2026-09-29-06401fd5b220.

Use this model

How it works, versions and access

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-b4-022

Strengths, limitations and unresolved questions

Strengths 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-8d2c291733dfe1

Specifications

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.

Inputs, outputs and configuration
Property	Description and evidence
Model type	Study-specific predictive method; this record is the paper-specific evaluated configuration. 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)
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. 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)
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)
Parameters	An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. · Not reported in inspected sources Sources (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 sources Sources DeepInterAware: 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. Sources DeepInterAware: 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 sources Sources (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. Sources BioMedicalBigDataMiningLab/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. Sources BioMedicalBigDataMiningLab/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 sources Sources BioMedicalBigDataMiningLab/DeepInterAware README.md · README.md; checkpoint/access documentation and licence scope

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

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

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
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 Original source ↗ Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Diagram title Evaluated procedure (conceptual) Individual claims	DeepInterAware: Deep Interaction Interface‐Aware Network for Improving Antigen‐Antibody Interaction Prediction from Sequence Data Original source ↗ Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.0.value` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ Experimental Section/DeepInterAware Architecture (paragraph 1); Results/DeepInterAware Framework (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.1.value` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ README.md; checkpoint/access documentation and licence scope Version: 11a283264fb7177f842d56d5c6b49f9bb7f10abd Retrieved: 2026-09-16T20:42:56.583634+00:00	unreported automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.10.value` Source artifact SHA-256: `9f1cef47f48b4b3b0084e6de73d271166f5c85344603b6aac5a64521eac10a9a` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ Experimental Section/DeepInterAware Architecture—Sequence Encoder (paragraph 2); Experimental Section/DeepInterAware Architecture—Interaction Interface‐Aware Learner (paragraph 4) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.2.value` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ Experimental Section/DeepInterAware Architecture—Dynamic Confidence Fusion and Prediction (paragraph 1); Experimental Section/Experimental Setting—Baseline Methods (paragraph 1) Version: version of record Retrieved: 2026-09-16T10:41:06Z	source checked automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.3.value` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
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 Original source ↗ 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 Retrieved: 2026-09-16T10:41:06Z	unreported automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.4.value` Source artifact SHA-256: `25d3561934965f754d8712ec02b2052e9a3979e433b88ecebd5db14e930f17a1` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Parameters An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. Individual claims	BioMedicalBigDataMiningLab/DeepInterAware README.md Original source ↗ 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 Retrieved: 2026-09-16T20:42:56.583634+00:00	unreported automated source review · 2026-09-16 Audit 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. Field: `attributes.profile.facts.4.value` Source artifact SHA-256: `9f1cef47f48b4b3b0084e6de73d271166f5c85344603b6aac5a64521eac10a9a` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-09-29-06401fd5b220 · 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

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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.

Related records

model: DeepInterAware: antigen-antibody HIV neutralization prediction

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