5wtt

Structure of the 093G9 Fab in complex with the epitope peptide

spinqualitylabelsall models 5wtt, resolution 2.70Å Show:Asymmetric Unit Biological Assembly Drag the structure with the mouse to rotate   Export Animated Image   Print3D Structural highlights 5wtt is a 6 chain structure with sequence from Homo sapiens and Mus musculus. Full crystallographic information is available from OCA. For a guided tour on the structure components use FirstGlance. Method: X-ray diffraction, Resolution 2.7Å Resources: FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT Publication Abstract from PubMed CCN1, also named Cyr61 (cysteine-rich protein 61), is the first identified member of the CCN family that is composed of 6 secreted extracellular matrix-associated glycoproteins. CCN1 has been demonstrated to participate in pathogenesis of rheumatoid arthritis through various pathways. A monoclonal antibody, namely, 093G9, is effective to antagonize the effects of CCN1 and hence has potential therapeutic benefits against rheumatoid arthritis. Here, we show that the epitope recognized by 093G9 is mapped to residues 77 to 80 of CCN1, and a cyclic peptide encompassing residues 75 to 81 of CCN1 displays high binding affinity for 093G9. The crystal structure of the 093G9 Fab in complex with the cyclic peptide was determined at 2.7 A resolution, which reveals the intensive interactions between CCN1 and 093G9. Particularly, residues Asn79 and Phe80 of CCN1 are inserted into cavities mainly formed by residues of complementarity-determining region loop L3 and framework region L2 and by residues of complementarity-determining region loops H2 and H3, respectively, which contribute most of the interactions and therefore are critical for the recognition by 093G9. Together, these findings not only identify the epitope of CCN1 for 093G9 but also reveal the molecular mechanism of recognition and binding of CCN1 by 093G9. Molecular basis for the recognition of CCN1 by monoclonal antibody 093G9.,Zhong C, Huo R, Hu K, Shen J, Li D, Li N, Ding J J Mol Recognit. 2017 Nov;30(11). doi: 10.1002/jmr.2645. Epub 2017 Jun 13. PMID:28608634 From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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