{"data":{"event":{"id":"5aca885d-4567-4eb5-a45b-de416bdf2f19","slug":"sixpack-abscan-a-web-server-to-discover-cross-reactivity-of-antibodies-a-7c84a3272b","title":"\n\nSixPack-AbScan: a web server to discover cross-reactivity of antibodies across species \n\n","short_summary":"Availability of commercial antibodies for immunochemistry is typically limited to major model species. Researchers working on non-model organisms therefore often need either to generate novel species-specific antibodies or venture into expensive empirical screening from available antibody catalogues, hoping to find cross-reactive reagents. SixPack-AbScan is a free web server aiding researchers in transferring antibodies across species: using the available epitope-mapping information, the software performs a simple computational pre-screening of potential cross-reactivity. The workflow is speci","full_description":"Availability of commercial antibodies for immunochemistry is typically limited to major model species. Researchers working on non-model organisms therefore often need either to generate novel species-specific antibodies or venture into expensive empirical screening from available antibody catalogues, hoping to find cross-reactive reagents. SixPack-AbScan is a free web server aiding researchers in transferring antibodies across species: using the available epitope-mapping information, the software performs a simple computational pre-screening of potential cross-reactivity. The workflow is species-agnostic and designed to help non-model-species researchers prioritize antibodies for experimental validation. A hit indicates sequence-level conservation of the epitopes and a high probability of cross-reactivity; the server does not model substitutions, structure, accessibility, expression or binding affinity. The web server is available at https://sixpack-abscan.serve.scilifelab.se.\n\nUpdate (2026-09-23): Anthropic says Claude AI helped discover novel enzyme system - Reuters. Anthropic says Claude AI helped discover novel enzyme system  Reuters","ledger_type":"benefit","primary_domain_id":"8f1af1b9-7302-4b51-aae9-fdfac04d158a","event_status":"provisional","event_date":"2026-09-16T00:00:00.000Z","discovery_date":"2026-09-16T00:00:00.000Z","first_published_date":"2026-09-16T00:00:00.000Z","last_reviewed_date":"2026-09-23T00:00:00.000Z","geographic_scope":"International","affected_population":null,"base_impact_tier":1,"base_score":"1.00","attribution_multiplier":"0.1000","evidence_multiplier":"0.2000","realization_multiplier":"0.2000","durability_multiplier":"0.5000","current_event_score":"0.002000","confidence_level":"low","score_explanation":"Ingest update: independent source raised evidence; added a follow-up source. Score remains provisional until review.","methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","original_methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","published_at":"2026-09-16T09:00:52.758Z","created_at":"2026-09-16T09:00:52.758Z","updated_at":"2026-09-24T02:01:14.911Z","flags":[],"domain_name":"Biology","domain_slug":"biology","methodology_version":"0.2"},"contributions":[{"id":"304cb8e4-063d-4df6-b895-4d8be2932655","event_id":"5aca885d-4567-4eb5-a45b-de416bdf2f19","model_id":"535014f7-c941-4d39-aa9b-8f9c1d3d07b7","role_description":"Unspecified system mentioned or implied by a news item. Remap to a named release when identified.","attribution_multiplier":"0.1000","credit_share":"1.0000","contribution_score":"0.002000","attribution_rationale":"News ingest does not infer a named model from the publisher alone. Attribution stays unspecified until a release is identified.","attribution_confidence":"medium","first_used_date":"2026-09-16T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-16T09:00:52.808Z","model_slug":"unspecified-ai-system","model_name":"Unspecified AI system","identity_class":"unknown","is_internal":false,"family_name":"Unspecified","family_slug":"unknown-unspecified","organization_name":"Unknown","organization_slug":"unknown"}],"sources":[{"id":"75628078-7c96-48d4-9153-78841dd4a4bb","event_id":"5aca885d-4567-4eb5-a45b-de416bdf2f19","url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.746162v1?rss=1\n","canonical_url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.746162v1?rss=1\n","source_type":"preprint","publisher":"bioRxiv","author":null,"publication_date":"2026-09-16T00:00:00.000Z","retrieved_at":"2026-09-16T09:00:52.814Z","title":"\n\nSixPack-AbScan: a web server to discover cross-reactivity of antibodies across species \n\n","excerpt":"Availability of commercial antibodies for immunochemistry is typically limited to major model species. Researchers working on non-model organisms therefore often need either to generate novel species-specific antibodies or venture into expensive empirical screening from available antibody catalogues, hoping to find cross-reactive reagents. 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