Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences.
| Title: | Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences. |
|---|---|
| Authors: | Tran ND; Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Matrix, Singapore.; Subramani K; Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Matrix, Singapore.; Su CT; Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Matrix, Singapore. |
| Source: | MAbs [MAbs] 2025 Dec; Vol. 17 (1), pp. 2531227. Date of Electronic Publication: 2025 Jul 10. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Language: | English |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101479829 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1942-0870 (Electronic) Linking ISSN: 19420862 NLM ISO Abbreviation: MAbs Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2015- : Philadelphia, PA : Taylor & Francis; Original Publication: Austin, TX : Landes Bioscience |
| MeSH Terms: | Complementarity Determining Regions*/chemistry ; Complementarity Determining Regions*/immunology ; Complementarity Determining Regions*/genetics ; Epitopes*/chemistry ; Epitopes*/immunology ; Immunoglobulin Heavy Chains*/chemistry ; Immunoglobulin Heavy Chains*/immunology ; Immunoglobulin Light Chains*/chemistry ; Immunoglobulin Light Chains*/immunology ; Immunoglobulin Variable Region*/chemistry ; Immunoglobulin Variable Region*/immunology; Humans ; Models, Molecular |
| Abstract: | Antibodies recognize antigens via complementary and structurally dependent mechanisms. Therefore, inclusion of antibody inputs is crucial for accurate epitope prediction. Given the limited availability of antibody-antigen complex structures, any epitope prediction model will require minimal yet sufficient antibody inputs to ensure precise epitope identification. To address this need, we introduce Epi4Ab, an antibody-specific epitope prediction model that focuses on identifying unique in-contact antigen residues for a given antibody. Epi4Ab requires minimal antibody inputs, specifically VH/VL families and complementarity-determining region sequences. |
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| Grant Information: | NMRC-OFYIRG (MOH-000661) the National Medical Research Council |
| Contributed Indexing: | Keywords: Antibody-specific epitope prediction; CDR sequences; VH-VL families; conformational epitope; graph-based model; machine learning |
| Substance Nomenclature: | 0 (Complementarity Determining Regions); 0 (Epitopes); 0 (Immunoglobulin Heavy Chains); 0 (Immunoglobulin Light Chains); 0 (Immunoglobulin Variable Region) |
| Entry Date(s): | Date Created: 20250710 Date Completed: 20250710 Latest Revision: 20260430 |
| Update Code: | 20260501 |
| PubMed Central ID: | PMC12247109 |
| DOI: | 10.1080/19420862.2025.2531227 |
| PMID: | 40637319 |
| Database: | MEDLINE |
Journal Article; Research Support, Non-U.S. Gov't