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1
The Increased Amyloidogenicity of Spike RBD and pH-Dependent Binding to ACE2 May Contribute to the Transmissibility and Pathogenic Properties of SARS-CoV-2 Omicron as Suggested by In Silico Study
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The Increased Amyloidogenicity of Spike RBD and pH-Dependent Binding to ACE2 May Contribute to the Transmissibility and Pathogenic Properties of SARS-CoV-2 Omicron as Suggested by In Silico Study

Aksenova, Anna Y. ; Likhachev, Ilya V. ; Grishin, Sergei Y. ; Galzitskaya, Oxana V.

International journal of molecular sciences, 2022-11, Vol.23 (21), p.13502 [Periódico revisado por pares]

Basel: MDPI AG

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2
Is It Possible to Find an Antimicrobial Peptide That Passes the Membrane Bilayer with Minimal Force Resistance? An Attempt at a Predictive Approach by Molecular Dynamics Simulation
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Is It Possible to Find an Antimicrobial Peptide That Passes the Membrane Bilayer with Minimal Force Resistance? An Attempt at a Predictive Approach by Molecular Dynamics Simulation

Likhachev, Ilya V ; Balabaev, Nikolay K ; Galzitskaya, Oxana V

International journal of molecular sciences, 2022-05, Vol.23 (11), p.5997 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
Disordered Residues and Patterns in the Protein Data Bank
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Disordered Residues and Patterns in the Protein Data Bank

Lobanov, Mikhail Yu ; Likhachev, Ilya V ; Galzitskaya, Oxana V

Molecules (Basel, Switzerland), 2020-03, Vol.25 (7), p.1522 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
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Measurement of selection coefficients from genomic samples of adapting populations by computer modeling

Likhachev, Igor V. ; Rouzine, Igor M.

STAR protocols, 2023-03, Vol.4 (1), p.101821-101821, Article 101821 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Is there an advantageous arrangement of aromatic residues in proteins? Statistical analysis of aromatic interactions in globular proteins
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Is there an advantageous arrangement of aromatic residues in proteins? Statistical analysis of aromatic interactions in globular proteins

Lobanov, Mikhail Yu ; Pereyaslavets, Leonid B. ; Likhachev, Ilya V. ; Matkarimov, Bakhyt T. ; Galzitskaya, Oxana V.

Computational and structural biotechnology journal, 2021-01, Vol.19, p.5960-5968 [Periódico revisado por pares]

Elsevier B.V

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6
Characterizing A “N-CoV-2-IgG PS” diagnostic kit to quantify SARS-CoV-2 nucleocapsid protein-specific human IgG antibodies
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Characterizing A “N-CoV-2-IgG PS” diagnostic kit to quantify SARS-CoV-2 nucleocapsid protein-specific human IgG antibodies

Zueva, Elena V. ; Belyaev, Nikolai N. ; Verbov, Vyacheslav N. ; Likhachev, Ivan V. ; Bachinin, Igor A. ; Khamitova, Irina V. ; Korobova, Zoya R. ; Arsentieva, Natalya A. ; Totolian, Areg A.

Infekt͡s︡ii͡a︡ i immunitet, 2022-11, Vol.12 (4), p.771-778 [Periódico revisado por pares]

Sankt-Peterburg : NIIÈM imeni Pastera

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7
Molecular dynamics of α-helix inside a protein with single helix
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Molecular dynamics of α-helix inside a protein with single helix

Chirgadze, Y N ; Likhachev, I V ; Balabaev, N K ; Brazhnikov, E V

Journal of biomolecular structure & dynamics, 2024-01, p.1-6 [Periódico revisado por pares]

England

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8
Molecular dynamics of α-helical structure: poly-l-glutamic acid
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Molecular dynamics of α-helical structure: poly-l-glutamic acid

Chirgadze, Y N ; Likhachev, I V ; Balabaev, N K ; Brazhnikov, E V

Journal of biomolecular structure & dynamics, 2023, Vol.41 (23), p.13718-13723 [Periódico revisado por pares]

England: Taylor & Francis

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9
Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction
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Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction

Lobanov, M. Y. ; Slizen, M. V. ; Dovidchenko, N. V. ; Panfilov, A. V. ; Surin, A. A. ; Likhachev, I. V. ; Galzitskaya, O. V.

Molecular informatics, 2024-05, Vol.43 (5), p.e202200181-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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10
Herd immunity to SARS-CoV-2 among the population of the Republic of Belarus amid the COVID-19 pandemic
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Herd immunity to SARS-CoV-2 among the population of the Republic of Belarus amid the COVID-19 pandemic

Popova, A. Yu ; Tarasenko, A. A. ; Smolensky, V. Yu ; Egorova, S. A. ; Smirnov, V. S. ; Dashkevich, A. M. ; Svetogor, T. N. ; Glinskaya, I. N. ; Skuranovich, A. L. ; Milichkina, A. M. ; Dronina, A. M. ; Samoilovich, E. O. ; Khamitova, I. V. ; Semeiko, G. V. ; Amvrosyeva, T. V. ; Shmeleva, N. P. ; Rubanik, L. V. ; Esmanchik, O. P. ; Karaban, I. A. ; Drobyshevskaya, V. G. ; Sadovnikova, G. V. ; Shilovich, M. V. ; Podushkina, E. A. ; Kireichuk, V. V. ; Petrova, O. A. ; Bondarenko, S. V. ; Salazhkova, I. F. ; Tkach, L. M. ; Shepelevich, L. P. ; Autukhova, N. L. ; Ivanov, V. M. ; Babilo, A. S. ; Navyshnaya, M. V. ; Belyaev, N. N. ; Zueva, E. V. ; Volosar, L. A. ; Verbov, V. N. ; Likhachev, I. V. ; Zagorskaya, T. O. ; Morozova, N. F. ; Korobova, Z. R. ; Gubanova, A. V. ; Totolian, A. A.

Infekt͡s︡ii͡a︡ i immunitet, 2021-11, Vol.11 (5), p.887-904 [Periódico revisado por pares]

Sankt-Peterburg : NIIÈM imeni Pastera

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