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</script>pmid: 30322966
Abstract Abs are very efficient drugs, ∼70 of them are already approved for medical use, over 500 are in clinical development, and many more are in preclinical development. One important step in the characterization and protection of a therapeutic Ab is the determination of its cognate epitope. The gold standard is the three-dimensional structure of the Ab/Ag complex by crystallography or nuclear magnetic resonance spectroscopy. However, it remains a tedious task, and its outcome is uncertain. We have developed MAbTope, a docking-based prediction method of the epitope associated with straightforward experimental validation procedures. We show that MAbTope predicts the correct epitope for each of 129 tested examples of Ab/Ag complexes of known structure. We further validated this method through the successful determination, and experimental validation (using human embryonic kidney cells 293), of the epitopes recognized by two therapeutic Abs targeting TNF-α: certolizumab and golimumab.
570, Antibodies, Monoclonal, [SDV.IMM.IMM]Life Sciences [q-bio]/Immunology/Immunotherapy, 540, Molecular Docking Simulation, HEK293 Cells, Humans, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.IMM.IMM] Life Sciences [q-bio]/Immunology/Immunotherapy, Epitope Mapping, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
570, Antibodies, Monoclonal, [SDV.IMM.IMM]Life Sciences [q-bio]/Immunology/Immunotherapy, 540, Molecular Docking Simulation, HEK293 Cells, Humans, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.IMM.IMM] Life Sciences [q-bio]/Immunology/Immunotherapy, Epitope Mapping, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
