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Method and device for predicting drugability of target ppis based on protein interaction network

A protein interaction and prediction method technology, applied in the field of bioinformatics, to achieve the effect of eliminating false positive interactions, calculating results in line with objective reality, and reducing false positives

Active Publication Date: 2022-02-11
上海源兹生物科技有限公司
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Problems solved by technology

[0004] In the previous studies on drug-targeted PPIs, most of the targeted PPIs were randomly selected by researchers according to their own interests, and there were few studies aimed at discovering or selecting target PPIs based on the entire PPI network level

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  • Method and device for predicting drugability of target ppis based on protein interaction network
  • Method and device for predicting drugability of target ppis based on protein interaction network
  • Method and device for predicting drugability of target ppis based on protein interaction network

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Embodiment Construction

[0038] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0039] In addition, it should be understood that one or more method steps mentioned in the present invention do not exclude that there may be other method steps before and after the combined steps or other method steps may be inserted between these explicitly mentioned steps, unless otherwise There are instructions; it should also be understood that the combined connection relationship between one or more steps mentioned in the present...

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Abstract

The present invention provides a method for predicting the drugability of target PPIs based on protein interaction network, which at least includes the following steps: S1: detecting the interaction relationship between domains of interacting proteins in the PPI network; S2: detecting the surface of interacting proteins in the PPI network S3: Obtain the GO functional similarity score of interacting proteins in the PPI network; S4: Screen out PPIs that meet the following conditions as drug therapeutic targets: protein interaction relationship has a significant impact on the existence of domain interaction ; In the protein interaction relationship pair, at least one protein has a small molecule drug binding pocket on the surface; Among the GO functional categories of the interacting proteins in the protein interaction relationship pair, at least two categories have significant similarities, and the GO functional categories include GO BP, GO MF and GO CC. At the same time, the present invention adopts strict three mutually independent standards to comprehensively explore and discover target PPIs, systematically eliminates false positive interactions, selects more reliable PPIs as drug targets, and calculates results more in line with objective reality.

Description

technical field [0001] The invention relates to the field of bioinformatics, in particular to a method and device for predicting drugability of target PPIs based on protein interaction network. Background technique [0002] Since the completion of the human genome sequencing project, a variety of in silico methods have been proposed to assess the drugability of all human proteins that have not yet been drugged and to discover novel drug target proteins. These methods use 'omics' data of known functional, ligand-associated, and physicochemical properties of the target protein. Proteins with enzymatic activity and involved in cell signal transduction are popular targets for new drug development. Based on the important role of enzymatic activity in signal transduction, finding specific inhibitors or activators for enzymatic activity has become a research hotspot in the development of new drugs. A number of very effective drugs or drug leads have appeared. However, in view of ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B15/30G16B20/30G16B25/10
CPCG16B15/30G16B20/30G16B25/10
Inventor 桑运霞左冰云阚海亮宋青芳
Owner 上海源兹生物科技有限公司
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