publication . Article . 2020

Protein homodimers structure prediction based on deep neural network

A. Y. Hadarovich; A. A. Kalinouski; Alexander V. Tuzikov;
Open Access Russian
  • Published: 26 Jun 2020 Journal: Informatika, volume 17, issue 2, pages 44-53 (issn: 1816-0301, Copyright policy)
  • Publisher: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
Abstract
<jats:p>Structural prediction of protein-protein complexes has important application in such domains as modeling of biological processes and drug design. Homodimers (complexes which consist of two identical proteins) are the most common type of protein complexes in nature but there is still no universal algorithm to predict their 3D structures. Experimental techniques to identify the structure of protein complex require enormous amount of time and resources, and each method has its own limitations. Recently Deep Neural Networks allowed to predict structures of individual proteins greatly prevailing in accuracy over other algorithmic approaches. Building on the i...
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Subjects
free text keywords: deep learning, neural network, modeling of protein complexes, homodimers, optimization, lcsh:Electronic computers. Computer science, lcsh:QA75.5-76.95, Computer science, Artificial neural network, Pattern recognition, Artificial intelligence, business.industry, business
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