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Using AlphaFold Predictions in Viral Research.
Gutnik, Daria; Evseev, Peter; Miroshnikov, Konstantin; Shneider, Mikhail.
  • Gutnik D; Limnological Institute of the Siberian Branch of the Russian Academy of Sciences, 3 Ulan-Batorskaya Str., 664033 Irkutsk, Russia.
  • Evseev P; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10 Miklukho-Maklaya Str., GSP-7, 117997 Moscow, Russia.
  • Miroshnikov K; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10 Miklukho-Maklaya Str., GSP-7, 117997 Moscow, Russia.
  • Shneider M; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10 Miklukho-Maklaya Str., GSP-7, 117997 Moscow, Russia.
Curr Issues Mol Biol ; 45(4): 3705-3732, 2023 Apr 21.
Article in English | MEDLINE | ID: covidwho-2323447
ABSTRACT
Elucidation of the tertiary structure of proteins is an important task for biological and medical studies. AlphaFold, a modern deep-learning algorithm, enables the prediction of protein structure to a high level of accuracy. It has been applied in numerous studies in various areas of biology and medicine. Viruses are biological entities infecting eukaryotic and procaryotic organisms. They can pose a danger for humans and economically significant animals and plants, but they can also be useful for biological control, suppressing populations of pests and pathogens. AlphaFold can be used for studies of molecular mechanisms of viral infection to facilitate several activities, including drug design. Computational prediction and analysis of the structure of bacteriophage receptor-binding proteins can contribute to more efficient phage therapy. In addition, AlphaFold predictions can be used for the discovery of enzymes of bacteriophage origin that are able to degrade the cell wall of bacterial pathogens. The use of AlphaFold can assist fundamental viral research, including evolutionary studies. The ongoing development and improvement of AlphaFold can ensure that its contribution to the study of viral proteins will be significant in the future.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Curr Issues Mol Biol Journal subject: Molecular Biology Year: 2023 Document Type: Article Affiliation country: Cimb45040240

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Curr Issues Mol Biol Journal subject: Molecular Biology Year: 2023 Document Type: Article Affiliation country: Cimb45040240