Evidence claim

MegSite + ESM3: description

Predicts nucleic-acid-binding residues by fusing multimodal ESM3 sequence, structure and function embeddings with ESM-MSA features through cross-attention, alongside an equivariant graph network over the residue contact map.

Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value.

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Evidence table

Inspect claims, sources and review details

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7 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Claimed field description Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.field` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Previous value Identity as reported in this paper. Unspecified versions are not assumed equivalent to other papers. Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.previous_value` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Claimed value Predicts nucleic-acid-binding residues by fusing multimodal ESM3 sequence, structure and function embeddings with ESM-MSA features through cross-attention, alongside an equivariant graph network over the residue contact map. Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `attributes.value` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Replace a placeholder description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `description` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Relationship: subject reported-model-86393c76dd8fa9 Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `links:subject:reported-model-86393c76dd8fa9` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name MegSite + ESM3: description Context-only references	MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model Original source ↗ Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview) Version: journal full text in PMC Retrieved: 2026-09-16T10:38:57.558213+00:00	not individually reviewed No individual claim review recorded Audit details Field: `name` Source artifact SHA-256: `10d13122331813243d83b84fe6f9294eac7e7c03cde082ebed276191ac41089c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release history

MegSite: an accurate nucleic acid-binding residue prediction method based on multimodal protein language model · Original source · journal full text in PMC

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Technical metadata and extraction receipts

Stable ID: metadata-correction-e36088ab7ca7e93c9955

areas: proteins-complexes
field: description
previous value: Identity as reported in this paper. Unspecified versions are not assumed equivalent to other papers.
value: Predicts nucleic-acid-binding residues by fusing multimodal ESM3 sequence, structure and function embeddings with ESM-MSA features through cross-attention, alongside an equivariant graph network over the residue contact map.
source locator: Reviewed profile (2026-09-16): summary at Bidirectional cross-attention fusion/The architecture of MegSite (paragraph 1); Bidirectional cross-attention fusion/Implementation details (paragraph 2); architecture fact at Results/Performance of different network architectures (paragraph 7); Materials and methods/Multimodal protein language model (paragraph 2); description text also read at Abstract; Results (MegSite architecture overview)
review: method: automated-source-review; ai-assisted-source-review; reviewer: claude; reviewer note: Extractor: Claude integrator agent for issue #88. Reviewer: a separate Claude review agent, independent of the extractor; no human review claimed.; date: 2026-10-11; method note: Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.; note: Approved. Checked all 11 scTab and MPRabc method descriptions against PMC11298532 and PMC13232518, and Lazypipe-nt, scaLR, CATHe2, DiffDock-NMDN, PC-mer and Hi-Enhancer against their papers; all match. The other pipeline descriptions are consistent with their pinned papers.; receipt: data/omics/qa-descriptions-20261011-c/review.json

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subject: MegSite + ESM3

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