9MKN
Structure of the Respiratory Syncytial Virus Fusion Protein Bound to Human Antibodies RSV_2245 and RSV_3301
9MKN の概要
| エントリーDOI | 10.2210/pdb9mkn/pdb |
| EMDBエントリー | 48331 |
| 分子名称 | Fusion glycoprotein F2, Fusion glycoprotein F1, 2245 Fab Heavy Chain, ... (6 entities in total) |
| 機能のキーワード | fusion protein, trimer, antibody, complex, antiviral protein, viral protein-immune system complex, viral protein/immune system |
| 由来する生物種 | Respiratory syncytial virus 詳細 |
| タンパク質・核酸の鎖数 | 18 |
| 化学式量合計 | 434849.69 |
| 構造登録者 | |
| 主引用文献 | Wasdin, P.T.,Johnson, N.V.,Janke, A.K.,Held, S.,Marinov, T.M.,Jordaan, G.,Gillespie, R.A.,Vandenabeele, L.,Pantouli, F.,Powers, O.C.,Vukovich, M.J.,Holt, C.M.,Kim, J.,Hansman, G.,Logue, J.,Chu, H.Y.,Andrews, S.F.,Kanekiyo, M.,Sautto, G.A.,Ross, T.M.,Sheward, D.J.,McLellan, J.S.,Abu-Shmais, A.A.,Georgiev, I.S. Generation of antigen-specific paired-chain antibodies using large language models. Cell, 188:7206-, 2025 Cited by PubMed Abstract: The traditional process of antibody discovery is limited by inefficiency, high costs, and low success rates. Recent approaches employing artificial intelligence (AI) have been developed to optimize existing antibodies and generate antibody sequences in a target-agnostic manner. In this work, we present MAGE (monoclonal antibody generator), a sequence-based protein language model (PLM) fine-tuned for the task of generating paired human variable heavy- and light-chain antibody sequences against targets of interest. We show that MAGE can generate novel and diverse antibody sequences with experimentally validated binding specificity against SARS-CoV-2, an emerging avian influenza H5N1, and respiratory syncytial virus A (RSV-A). MAGE represents a first-in-class model capable of designing human antibodies against multiple targets with no starting template. PubMed: 41192421DOI: 10.1016/j.cell.2025.10.006 主引用文献が同じPDBエントリー |
| 実験手法 | ELECTRON MICROSCOPY (3.4 Å) |
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