Abstract: A device for predicting protein interaction to predict whether or not protein interact based on artificial intelligence comprises memory; a communication unit; and at least one processor operably connected to the memory and the communication unit. The at least one processor is configured to identify data related to at least one protein sequence from the memory, predict a structure of a first protein complex based on the data related to the at least one protein sequence, determine coordinate information of the first protein complex based on predetermined positional encoding operation, and perform learning to predict interaction between the first protein complex and an external protein based on the coordinate information of the first protein complex.

Abstract: A prediction device for predicting protein-protein interactions using protein complex surface information based on artificial intelligence includes: memory; a communicator; and a processor operably connected to the memory and the communicator, wherein the processor may be configured to: predict a structure of a protein complex based on an artificial intelligence model, extract information related to a surface of a protein complex, and provide interaction prediction data for the protein complex and an external protein based on the extracted information related to the surface of the protein complex surface.

Abstract: A bonding prediction device for predicting MHC-peptide complex activity based on artificial intelligence comprises: memory; a communication unit; and at least one processor operably connected to the memory and the communication unit, wherein the at least one processor may be configured to: obtain data related to a structure of a major histocompatibility complex (MHC)-peptide complex, which comprises a first sub-unit and a second sub-unit, from the memory; extract first coordinate information, which is 3D coordinates of the first subunit; extract second coordinate information, which is 3D coordinates of the second subunit; calculate distance information between the first sub-unit and the second sub-unit based on the first coordinate information and the second coordinate information; and perform learning using an artificial intelligence model to predict bonding of the MHC-peptide complex based on the distance information.

Abstract: An apparatus for implementing a sequence transform neural network for transforming an input sequence having network inputs comprises a memory; a communicator; and a processor operably connected to the memory and the communicator The processor is configured to: receive first input data, receive second input data corresponding to the first input data, and generate output data predicting whether the first input data and the second input data are combined by further incorporating information corresponding to an experimental method into an embedding vector, determined by performing predetermined attention computation based the first input data and the second input data labeled on predetermined label information. The experimental method is comprised in one of a plurality of predetermined categories, and the experimental method and the experimental result data of the experimental method are grouped according to the predetermined categories and combined with the embedding vector to be used as an input feature.

Abstract: A protein interaction prediction device utilizing unobserved protein complexes to generate an antigen presentation model includes a memory for storing protein complex-related datasets; and a processor operably connected to the memory, wherein the processor may be configured to: generate an embedding for at least one peptide by a pre-determined model based on at least one peptide generated through antigen processing, generate an embedding for at least one MHC, which is formed by being bound to the at least one peptide, identify results of mass spectrometry performed based on the at least one peptide and the at least one MHC, and train an antigen presentation model configured to predict the binding of the at least one peptide and the at least one MHC based on the results of the mass spectrometry.