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Serum amyloid protein A (SAA) antigen epitope and predication and verification method thereof as well as preparation method of monoclonal antibody

A monoclonal antibody and serum amyloid technology, applied in the field of serum amyloid A antigen epitope, raw materials for the preparation of clinical diagnostic kits in the in vitro diagnostic industry, and the preparation of monoclonal antibodies, can solve the problem of unknown recognition epitopes and lack of antibody applications , Poor antigenicity and other issues

Inactive Publication Date: 2019-04-26
迪亚莱博(张家港)生物科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] 1. The current immunoinformatics methods and tools are mainly aimed at the general prediction of B cell epitopes from high-throughput data, and the prediction accuracy is low, and there is a lack of experimental screening and verification of antigen epitopes, and there is also a lack of application of validated antigen tables. Application of preparing antibodies in situ
[0010] 2. Up to now, there are no research reports on SAA epitopes, and the immunoinformatics analysis and follow-up experimental screening verification of SAA epitopes are also blank
[0011] 3. SAA is an emerging sensitive indicator that reflects the infection status of the body and the recovery of inflammation. However, the existing anti-SAA antibodies in the market are not high in sensitivity and specificity, and most of them are antibodies for scientific research. SAA antibodies for in vitro diagnosis can be applied Deficient, and the epitope recognized by the antibody determinant is unknown
[0012] 4. The half-life of SAA in human blood is about 1 day, and more than 95% of it is combined with lipids such as high-density lipoprotein and cholesterol. It also has interactions and interactions with various cell receptors, mucopolysaccharides, and cystatin C. In addition, free SAA in blood is easily degraded by protease, so it is very difficult to purify SAA in human blood
[0013] 5. Recombinant SAA (rSAA) is difficult to purify due to SAA's lipophilicity and is expensive, and recombinant SAA generally presents hexamers, tetramers, octamers, etc., lacks the natural conformation of human blood SAA, and has poor antigenicity

Method used

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  • Serum amyloid protein A (SAA) antigen epitope and predication and verification method thereof as well as preparation method of monoclonal antibody
  • Serum amyloid protein A (SAA) antigen epitope and predication and verification method thereof as well as preparation method of monoclonal antibody
  • Serum amyloid protein A (SAA) antigen epitope and predication and verification method thereof as well as preparation method of monoclonal antibody

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Embodiment Construction

[0089] The following will further illustrate the present invention through specific examples, but it is not intended to limit the protection scope of the present invention. Those skilled in the art can make improvements to the preparation method and the equipment used within the scope of the claims, and these improvements should also be considered as the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

[0090] 1. SAA epitope prediction

[0091] 1. SAA sequence information was obtained through the UniProtKB database.

[0092] Protein sequence:

[0093] RSFFSFLGEAFDGARDMWRAYSDMREANYIGSDKYFHARGNYDAAKRGPGGVWAAEAIS DARENIQRFFGHGAEDSLADQAANEWGRSGKDPNHFRPAGLPEKY (SEQ ID NO. 5).

[0094] (Remarks and reference information: The full length of the SAA precursor protein is 122 amino acids, and the 18 amino acids in the N segment are signal peptides. The protein is excised during ...

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Abstract

The invention relates to a predication and verification method of a serum amyloid protein A (SAA) antigen epitope and a preparation method of a monoclonal antibody. The predication and verification method comprises the following steps: predicating surface accessibility, an flexibility sequence region, a beta turn, antigenicity, hydrophilicity, a linear epitope and a long-fragment epitope of a serum amyloid protein A antigen to obtain a plurality of epitope sequences respectively; removing repeated epitopes in the plurality of epitope sequences and other sequences contained in other relativelylong epitopes to obtain a plurality of non-redundant predication epitopes; and verifying whether the plurality of non-redundant predication epitopes are identification epitopes of the antibody or notby adopting ELISA (Enzyme Linked Immunosorbent Assay). According to the invention, the problem that the predication accuracy of a single method is low is overcome; through experimental verification, the problem that the SAA antigen epitope is unknown is solved; and the monoclonal antibody is prepared by applying synthesized antigen epitope polypeptide, so that the problem that SAA is difficult topurify and obtain is overcome and the cost is reduced by one time or more.

Description

technical field [0001] The invention belongs to the field of preparation of in vitro diagnostic raw materials by biotechnology, belongs to the raw materials for the preparation of clinical diagnostic kits in the in vitro diagnostic industry, and specifically relates to a serum amyloid A antigen epitope, its prediction and verification method and a preparation method of a monoclonal antibody. Background technique [0002] Humoral immunity or antibody production is mainly mediated by B cells, and B cells recognize antigens through membrane-bound antibodies or B cell receptors (B cell receptors, BCRs). Editing of antibody genes and secretion of antibodies that bind to antigens to inactivate or eliminate them. [0003] Immunoinformatics is an informatics method that uses computer methods to apply and solve immune problems in immunology, and is a branch of bioinformatics. The two central goals of immunoinformatics are the prediction of B cell epitopes and T cell epitopes, which ...

Claims

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Application Information

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IPC IPC(8): C07K14/47C07K16/18C12N5/20G01N33/68G01N33/543
CPCC07K14/47C07K16/18G01N33/54306G01N33/68
Inventor 顾悦周俊花徐长银
Owner 迪亚莱博(张家港)生物科技有限公司
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