Identification of binding epitope of a monoclonal antibody (Z12) against human TNF-α using computer modeling and deletion mutant technique
Identification of binding epitope of a monoclonal antibody (Z12) against human TNF-α using computer modeling and deletion mutant technique作者机构:Beijing Basic Medical Institute Beijing 100850 China Beijing Basic Medical Institute Beijing 100850 China Beijing Basic Medical Institute Beijing 100850 China
出 版 物:《Science China(Life Sciences)》 (中国科学(生命科学英文版))
年 卷 期:2004年第47卷第3期
页 面:279-286页
核心收录:
基 金:This study has applied for a native inventing patent whose number(03104870.6)
主 题:human tumor necrosis factor-α, Fv, antigenic epitope, homology-based modeling, deletion.
摘 要:The genes of the heavy and light chain variable region (VH, VL) of Z12 antibody against hTNF-a were cloned, and according to the translated sequence of amino acids, the spa-tial structures of VH and VL domains were modeled by using homology-based modeling method, followed by constructing the whole three-dimensional structure of Fv fragment. The complex model of Fv interacting with hTNF-a was gained with computer-guided molecular docking method, based on which, it was predicted that the epitope recognized by Z12 was from 141 to 146 of hTNF-a. hTNF-a molecule was divided into two fragments of N-terminal region from 1 to 91 and C-terminal region from 92 to 157 with prokaryotic expression. The measured results suggested that the antigenic epitope recognized by Z12 antibody was located in the C-terminal region 92-157 of hTNF-a, proving the predicted result reliable preliminarily. Further experimental results showed that after hTNF- 141-146 residues were deleted, Z12 antibody almost lost the ability to recognize the mutant, suggesting that the amino acid residues from 141 to 146 of hTNF-a were specially recognized by Z12 antibody.