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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.

SUBMITTER: Zhao ZJ

PROVIDER: S-EPMC4658853 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Optimization modeling of single-chain antibody against hepatoma based on similarity algorithm.

Zhao Zhi-Jun ZJ Chen Jing-Tao JT Yuan Jia-Ying JY Yin Xiao-Xiang XX Song Hua-Yong HY Wang Xin-Chun XC

International journal of clinical and experimental medicine 20150915 9

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 conducte ...[more]

PMID: 26628964

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Project description:Three sets of in silico experiments have been conducted to elucidate the binding mechanics of two drugs, (+)-methamphetamine (METH) and amphetamine (AMP) to the single-chain variable fragment (scFv) recently engineered from anti-METH monoclonal antibody mAb6H4 (IgG, κlight chain, K(d)=11nM). The first set of in silico experiments are long time equilibration runs of scFv:drug complexes and of drug-free scFv both in the solution. They demonstrate how the solution structures of scFv deviate from its crystallographic form with or without drug molecules bound to it. They lead to the prediction that the Arrhenius activation barrier is nearly zero for transitions from the dissociated state to the bound state. The second set of in silico experiments are nonequilibrium dynamics of pulling the drug molecules out of the binding pocket of scFv and the equilibration runs for drugs to fall back into the binding pocket. They demonstrate that extra water molecules (in addition to the two crystallographic waters) exist inside the binding pocket, underneath the drug molecules. These extra waters must have been evaporated from the binding pockets during the crystallization process of the in vitro experiments of structural determination. The third set of in silico experiments are nonequilibrium steered molecular dynamics simulations to determine the absolute binding free energies of METH and AMP to scFv. The center of mass of a drug molecule (METH or AMP) is steered (pulled) towards (forward) and away from (reverse) the binding site, sampling forward and reverse pulling paths. Mechanic work is measured along the pulling paths. The work measurements are averaged through the Brownian dynamics fluctuation dissipation theorem to produce the free-energy profiles of the scFv:drug complexes as a function of the drug-scFv separation. These experiments lead to the theoretical prediction of absolute binding energies of METH and AMP that are in agreement with the in vitro experimental results.

Dataset Information

Optimization modeling of single-chain antibody against hepatoma based on similarity algorithm.

Publications

Optimization modeling of single-chain antibody against hepatoma based on similarity algorithm.

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