Binding affinity prediction method and device based on antigen and antibody sequences

An affinity and sequence technology, applied in the computer field, can solve the problems of complex prediction methods and low prediction efficiency of antigen and antibody binding affinity, and achieve highly accurate prediction of antibody affinity, improve prediction accuracy, and reduce risks.

Pending Publication Date: 2022-05-10
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a method and device for predicting binding affinity based on antigen and antibody sequences, so as to at least solve the technical problems of complex prediction methods and low prediction efficiency of binding affinity of antigens and antibodies existing in the related art

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  • Binding affinity prediction method and device based on antigen and antibody sequences
  • Binding affinity prediction method and device based on antigen and antibody sequences
  • Binding affinity prediction method and device based on antigen and antibody sequences

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Embodiment Construction

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0040] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such...

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Abstract

The invention discloses a method and a device for predicting binding affinity based on antigen and antibody sequences. The method comprises the following steps: acquiring a first amino acid sequence of a target antigen and a second amino acid sequence of a target antibody, determining initial features of M dimensions according to the first amino acid sequence of the target antigen and the second amino acid sequence of the target antibody, and inputting the initial features of the M dimensions into a target feature fusion model to obtain M fusion features, and inputting the M fusion features into the target prediction neural network model to obtain predicted binding affinity parameters. The method can be at least applied to the field of intelligent medical treatment, and solves the technical problems of complex prediction mode and low prediction efficiency of the binding affinity of the antigen and the antibody in the prior art.

Description

technical field [0001] This application relates to the field of computers, in particular, to a method and device for predicting binding affinity based on antigen and antibody sequences. Background technique [0002] Protein-Protein Interaction (PPI) is critical to a wide range of biological activities and functions in the human body, including the immune system. The antibody-antigen system is one of the most important systems in all PPIs. The commonly used antibody affinity determination method is time-consuming and laborious, and has great limitations. It cannot effectively deduce the important factors affecting antibody affinity. Models to predict antibody affinity have become an important breakthrough, but these calculation models often require three-dimensional protein structure information or PPI thermodynamic information to be input into the calculation model. Considering that such information is still difficult to obtain, it is not suitable for processing large and di...

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Application Information

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IPC IPC(8): G16B5/00G16B30/00G16B40/00G06N3/04G06N3/08G06K9/62
CPCG16B5/00G16B30/00G16B40/00G06N3/084G06N3/044G06N3/045G06F18/213G06F18/24G06F18/253
Inventor 赵宇黄志安姚建华
Owner TENCENT TECH (SHENZHEN) CO LTD
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