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A method and application for predicting new therapeutic effects of drugs based on biological processes

A biological process and drug technology, which is applied in the discovery of new drug efficacy and the field of drug efficacy, can solve problems such as inapplicable diseases, weak quantitative ranking, and inability to make strong correlations between drugs and therapeutic functions.

Inactive Publication Date: 2014-10-08
SHANGHAI CENT FOR BIOINFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods put forward strategies for predicting new therapeutic effects of drugs based on different perspectives, and some even have successful application cases. However, the "new curative effects" discovered by these methods are often limited to the existing functional space of existing drugs and are not applicable to existing drugs. Diseases that are not treated by medicines
In addition, for these new curative effects discovered, it is impossible to make a quantitative ranking of the strength of drug-treatment functional correlation

Method used

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  • A method and application for predicting new therapeutic effects of drugs based on biological processes
  • A method and application for predicting new therapeutic effects of drugs based on biological processes
  • A method and application for predicting new therapeutic effects of drugs based on biological processes

Examples

Experimental program
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Effect test

example 1

[0062] Etanercept (trade name: Enbrel) is a TNF-binding recombinant protein drug developed by Amgenc and Pfizer in the United States, and its approved indication is rheumatoid arthritis. The DrugBank database includes 14 targets of its action.

[0063] Construct a biological process data set; use the pathway information in KEGG as the biological process data set, a total of 183 biological processes.

[0064] Construct disease and disease-related protein data sets; (CTD (http: / / ctd.mdibl.org / ) database marked as "curated" disease and disease-related proteins, and the DDPA database developed by the research group (http: / / ctd.mdibl.org / ) lifecenter.sgst.cn / ddpa / ), including a total of 1101 diseases and 5898 disease-related proteins).

[0065] Construction of biological process profiles of diseases

[0066] Based on the collected disease and disease-related protein data, the Fisher’s exact test statistical model was used to calculate the degree of influence of the 183 biological...

example 2

[0089] Aripiprazole (Aripiprazole, trade name Abilify) is the third-generation atypical antipsychotic drug approved by the U.S. FDA on November 15, 2002. It belongs to the Dopamine receptor D2 activator of quinolinone derivatives. For the treatment of schizophrenia. A total of 25 targets are included in the DrugBank database.

[0090] Construct a biological process data set; use the pathway information in KEGG (http: / / www.genome.jp / kegg / ) except disease type as the biological process data set, a total of 183 biological processes.

[0091] Construct disease and disease-related protein data sets; (CTD (http: / / ctd.mdibl.org / ) database marked as "curated" disease and disease-related proteins, and the DDPA database developed by the research group (http: / / ctd.mdibl.org / ) lifecenter.sgst.cn / ddpa / ), including a total of 1101 diseases and 5898 disease-related proteins).

[0092] Construction of biological process profiles of diseases

[0093] Based on the collected disease and disea...

example 3

[0112] Herceptin (Trastuzumab, trade name Herceptin) is a monoclonal antibody drug against HER-2 positive breast cancer developed by Roche Pharmaceutical Co., Ltd. The main therapeutic target HER-2 and 12 targets of unknown function were collected in the DrugBank database.

[0113] Construct a biological process data set; use the pathway information in KEGG (http: / / www.genome.jp / kegg / ) except the disease type as the biological process data set, a total of 183 biological processes.

[0114] Construct disease and disease-related protein data sets; (CTD (http: / / ctd.mdibl.org / ) database marked as "curated" disease and disease-related proteins, and the DDPA database developed by the research group (http: / / ctd.mdibl.org / ) lifecenter.sgst.cn / ddpa / ), including a total of 1101 diseases and 5898 disease-related proteins).

[0115] Construction of biological process profiles of diseases

[0116] Based on the collected disease and disease-related protein data, the Fisher’s exact test st...

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Abstract

The invention relates to a method for predicating novel curative effects of a medicament based on a biological process, which is disease-oriented and used to predicate a potential novel treating function of the medicament based on a medicament-disease relevance of a biological process spectrum. The method comprises the following steps of: (1) constructing a disease biological process spectrum and a medicament biological process spectrum; (2) calculating medicament-disease relevance scores on the layer of the biological process spectrum; (3) judging the significance of the relevance scores; and (4) screening a medicament-disease relation with the significance and carrying out further experimental demonstration on functions of the medicament by a user according to a sequencing result of the relevance scores. The invention further relates to an application of the method to the predication of the novel curative effects of the medicament. The predication method provided by the invention is ingenious in design, can be used for more comprehensively evaluating the medicament-disease relation, has important meanings of looking for novel medicaments for treating diseases, finding potential toxic or side effects of the medicaments, expanding a treating function space of the traditional medicaments, developing new uses for approved medicaments and the like, and is suitable for being popularized and applied on a large scale.

Description

technical field [0001] The present invention relates to the technical field of drug curative effect, in particular to the technical field of discovery of new drug curative effect, and specifically refers to a method and application for predicting new drug curative effect based on biological processes, re-evaluating the function of existing drugs, so as to discover new therapeutic functions or Potential side effects, guiding clinical medication and new drug development. Background technique [0002] New drug development is an extremely time-consuming, labor-intensive and high-risk process. From an active small molecule to its approval for marketing, an average of 800 million US dollars is required, and the cycle is 15 years. Nearly 90% of active small molecules may be eliminated in phase 1 clinical trials. Generally speaking, the main reasons for the elimination of drugs are due to poor efficacy and toxic side effects. After some drugs are approved for marketing, the market...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/15
Inventor 曹志伟叶浩唐凯临李亦学
Owner SHANGHAI CENT FOR BIOINFORMATION TECH
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