Evidence map›Paper›PMID 26628964›Full record

ArticleInternational journal of clinical and experimental medicine2015

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

Zhi-Jun Zhao, Jing-Tao Chen, Jia-Ying Yuan, Xiao-Xiang Yin, Hua-Yong Song, Xin-Chun Wang

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Zhi-Jun ZhaoDepartment of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
Jing-Tao ChenDepartment of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
Jia-Ying YuanDepartment of Ultrasound Diagnosis, The Directly Under The Hospital of Henan Military Region Zhengzhou, China.
Xiao-Xiang YinDepartment of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
Hua-Yong SongDepartment of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
Xin-Chun WangDepartment of Oncology, The First Hospital Affiliated to Henan University Kaifeng, China.
First Affiliated Hospital of Henan University · CNMilitary Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

connecting peptideHscFv4-16modelingoptimizationsimilarity algorithm

Identifiers

PMID26628964
PMCPMC4658853
OpenAlexW2189879099

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.