9WLB
Local refinement region of SARS-CoV-2 spike RBD in complex with antibodies S309 and CT1-1.
Summary for 9WLB
| Entry DOI | 10.2210/pdb9wlb/pdb |
| EMDB information | 66052 |
| Descriptor | S309 Fab light chain, S309 Fab heavy chain, CT1-1 Fab heavy chain, ... (6 entities in total) |
| Functional Keywords | sars-cov-2, rbd, fab, viral protein/immune system, viral protein-immune system complex |
| Biological source | Homo sapiens More |
| Total number of polymer chains | 5 |
| Total formula weight | 87515.11 |
| Authors | |
| Primary citation | Zhou, L.,Yu, Z.,Lin, S.,Jiang, Y.,Gao, J.,Ma, Y.,Jiang, W.,Liang, S.,Chen, Y.,Zhang, Y.,Lin, Y.,Liang, M.,Dai, J.,Zhang, L.,Xiao, Y.,Li, T.,Kong, Z.,Liu, Q.,He, S.,Wu, Y.,Yuan, Q.,Liu, F.,Zhang, J.,Zheng, Q.,Yu, H.,Gu, Y.,Li, S.,Xia, N. Public antibody clonotypes and deep learning identify SARS-CoV-2 and HIV broadly neutralizing antibodies in immune repertoires. Cell Rep, 45:117582-117582, 2026 Cited by PubMed Abstract: Broadly neutralizing antibodies (bnAbs) are essential for the development of vaccines and therapeutics against rapidly evolving pathogens like HIV and SARS-CoV-2, yet traditional discovery methods remain technically challenging and time consuming. Here, we introduce ClonoDeep, an AI-powered platform that integrates public antibody clonotypes with a sequence-based deep learning model to directly identify bnAbs from a large-scale immune repertoire, independent of antigen-specific immunization. Applied to SARS-CoV-2 repertoires, ClonoDeep identified 18 clonotype-derived antibody candidates; 83% of the candidates were neutralizing antibodies, and 8 of these antibodies demonstrated broad neutralization across variants. Structural analysis revealed that somatic hypermutations at HCDR3 His107/Gly109 are key enhancers of the binding affinity and neutralizing breadth. Extending to HIV, ClonoDeep uncovered three previously unreported bnAbs from non-HIV cohorts, indicating that rare bnAb-like precursors exist in non-HIV cohort repertoires. ClonoDeep establishes a high-throughput computational approach for mining neutralizing antibodies from antibody repertoires shaped by non-pathogen-specific immunity and provides design principles to guide vaccine strategies against genetically diverse pathogens. PubMed: 42319828DOI: 10.1016/j.celrep.2026.117582 PDB entries with the same primary citation |
| Experimental method | ELECTRON MICROSCOPY (3.74 Å) |
Structure validation
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