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35TL

PD-L1 complexed with Germinal-designed anti-PD-L1 scFv H5

Summary for 35TL
Entry DOI10.2210/pdb35tl/pdb
EMDB information77181
DescriptorProgrammed cell death 1 ligand 1, Germinal-designed anti-PD-L1 scFv H5, V(H) domain, Germinal-designed anti-PD-L1 scFv H5, V(L) domain (3 entities in total)
Functional Keywordsscfv, designed, binder, de novo protein
Biological sourceHomo sapiens (human)
More
Total number of polymer chains3
Total formula weight80603.39
Authors
Zhang, J.L.,Rao, B.,Feng, L. (deposition date: 2026-05-15, release date: 2026-07-22)
Primary citationMille-Fragoso, L.S.,Driscoll, C.L.,Wang, J.N.,Dai, H.,Widatalla, T.,Zhang, J.L.,Zhang, X.,Rao, B.,Feng, L.,Hie, B.L.,Gao, X.J.
Efficient generation of epitope-targeted antibodies with Germinal.
Nat.Biotechnol., 2026
Cited by
PubMed Abstract: Obtaining antibodies to specific protein targets is a widely important yet experimentally laborious process. Meanwhile, computational methods for antibody design have been limited by low success rates that require resource-intensive screening. Here we introduce Germinal, a broadly enabling generative pipeline that designs antibodies against specific epitopes with nanomolar binding affinities while requiring only low-n experimental testing. Our method co-optimizes antibody structure and sequence by integrating a structure predictor with an antibody-specific protein language model to perform de novo design of functional complementarity-determining regions onto a user-specified structural framework. When tested against four diverse protein targets, Germinal designed functional antibodies across all targets and binder formats, testing only 43-101 designs for each antigen. Validated designs also exhibited robust expression in mammalian cells and high sequence and structural novelty. We provide open-source code and full computational and experimental protocols to facilitate wide adoption.
PubMed: 42337361
DOI: 10.1038/s41587-026-03187-0
PDB entries with the same primary citation
Experimental method
ELECTRON MICROSCOPY (3.93 Å)
Structure validation

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