Protein structure prediction method and system based on deep learning

A protein structure and deep learning technology, applied in the analysis of two-dimensional or three-dimensional molecular structure, informatics, biostatistics, etc. handy effect

Active Publication Date: 2021-01-15
上海天壤智能科技有限公司 +1
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The process and performance of this patent still have room for improvement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Protein structure prediction method and system based on deep learning
  • Protein structure prediction method and system based on deep learning
  • Protein structure prediction method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0074] A method for predicting protein structure based on deep learning provided by the present invention includes:

[0075] Data generation step: generate start-up control information according to the data, obtain the original multi-sequence matching data, calculate and generate feature data, and use it as the following network input;

[0076] Network structure construction step: construct the residue distance neural network structure and angle neural network structure, predict the distance and angle b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a protein structure prediction method and system based on deep learning, and particularly relates to a protein three-dimensional structure simulation method based on deep learning and a biological information theory. The method comprises a protein homologous matrix search step, a related characteristic data calculation step, a protein residue distance and angle prediction network construction step, a distance and angle prediction accuracy evaluation step, a distance and angle-based three-dimensional model rapid generation and optimization step, a three-dimensional structure model screening step, and a prediction result evaluation step. Compared with a traditional method, the process has the advantages of being accurate and rapid in prediction, and high-throughput macroproteome simulation can be carried out.

Description

technical field [0001] The present invention relates to the fields of deep learning and bioinformatics, in particular, to a protein structure prediction method and system based on deep learning, especially to a protein structure prediction, screening and evaluation based on artificial intelligence. Background technique [0002] Protein is the main bearer of life activities, and many important life processes in organisms have protein participation. Proteins are composed of 20 common amino acids connected by peptide chains formed after dehydration condensation. The three-dimensional structure of protein determines the function of protein. Prediction of protein's three-dimensional structure from amino acid sequence is a basic but unresolved problem in bioinformatics. [0003] So far, the research methods for determining the three-dimensional structure of proteins are mainly divided into two categories: one is to measure through wet experiments, and the other is to predict bas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16B15/20G16B30/10G16B40/00
CPCG16B15/20G16B30/10G16B40/00
Inventor 苗洪江
Owner 上海天壤智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap