title: Optimization modeling of single-chain antibody against hepatoma based on similarity algorithm.
abstract: The purposes was to establish optimal modeling of single-chain antibody molecules based on similarity algorithm and seek the connecting peptides that had the minimal effect on the structure and bioactivity of the variable region of heavy chain (VH) and that of light chain (VL) in a single-chain antibody against liver cancer. After the Linker with different lengths (n=0~7) had been added into single chain fragment variable (ScFv), modeling of the overall sequences of VH, VL and ScFv were conducted respectively. Meanwhile, the peptide chain structure of (Gly4Ser)n was adopted for the connecting peptide. Then the spatial spherical shell layer alignment algorithm based on spherical polar coordinates was utilized for comparing the structural similarity of VH and VL before and after adding connecting peptide. Equally, in order to determine the stability of VH and VL, MATLAB was applied for analysis of the fore and aft distances and the diffusion radius. Indirect ELISA method was used to detect single-chain antibody immunological activity of Linker with different lengths. The MTT assay was utilized for the examination of the inhibition rate of single-chain antibody with different lengths of Linker to liver cancer cell. When n=4, the structural similarity between VH together with VL and their original ones was the highest. When n=3, the influence of connecting peptide on the stability of VH and VL was minimum. When n>3, the fore and aft distances changed little due to the increase and fold of the length of peptide chain. The results of ELISA detection showed that when n=4, affinity of single chain antibody to liver cancer cells was much higher. The MTT test also indicated that when n=4, the inhibition rate of the connecting peptide on hepatoma carcinoma cell reached the highest, and that came second when n=3. When n=4, the structural stability and biological functions of anti-hepatoma single-chain antibody were both favorable. This study has provided a basis for the design and construction of single-chain antibody.
authors.affiliation: Department of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
authors.forename: Zhi-Jun
authors.initials: ZJ
authors.lastname: Zhao
authors.affiliation: Department of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
authors.forename: Jing-Tao
authors.initials: JT
authors.lastname: Chen
authors.affiliation: Department of Ultrasound Diagnosis, The Directly Under The Hospital of Henan Military Region Zhengzhou, China.
authors.forename: Jia-Ying
authors.initials: JY
authors.lastname: Yuan
authors.affiliation: Department of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
authors.forename: Xiao-Xiang
authors.initials: XX
authors.lastname: Yin
authors.affiliation: Department of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
authors.forename: Hua-Yong
authors.initials: HY
authors.lastname: Song
authors.affiliation: Department of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
authors.forename: Xin-Chun
authors.initials: XC
authors.lastname: Wang
keywords: HscFv4-16; connecting peptide; modeling; optimization; similarity algorithm