| |
original article |
Journal |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
Mathematical Biology and Bioinformatics |
2026―Jan―22 |
Principal Component Analysis in Targeted Approach to Coronavirus Genus Recognition |
M.B. Chaley, V.A. Kutyrkin |
| 2 |
[GO] |
Mathematical Biology and Bioinformatics |
2025―Jan―10 |
Typological Approaches to Recognizing Genus and Subgenus of Coronaviruses by Structural and Non-Structural Genes |
M.B. Chaley, V.A. Kutyrkin |
| 3 |
[GO] |
Mathematical Biology and Bioinformatics |
2024―Mar―21 |
Mathematical Modeling Of the Spread of COVID-19, Taking Into Account the Distribution of Asymptomatic Cases between Actually Asymptomatic and Pre-Symptomatic Cases |
I.D. Kolesin, E.M. Zhitkova |
| 4 |
[GO] |
Mathematical Biology and Bioinformatics |
2023―Jul―16 |
Choice of Target in the Genomes of Prototypic Strains to Recognize Subgenus of Coronaviruses |
M.B. Chaley, V.A. Kutyrkin |
| 5 |
[GO] |
Mathematical Biology and Bioinformatics |
2023―Jun―20 |
The Identifiability of Mathematical Models in Epidemiology: Tuberculosis, HIV, COVID-19 |
Olga Krivorotko, Sergey Kabanikhin, Victoriya Petrakova |
| 6 |
[GO] |
Mathematical Biology and Bioinformatics |
2023―Feb―28 |
Application of Virtual Screening and Molecular Modeling Technologies to Identify Potential SARS-CoV-2 Main Protease Inhibitors |
A.M. Andrianov, K.V. Furs, A.V. Gonchar, L.H. Aslanyan, A.V. Tuzikov |
| 7 |
[GO] |
Mathematical Biology and Bioinformatics |
2022―Dec―05 |
Extracting Factual Information about the Pandemic from Open Internet Sources |
E.Yu. Akulinina, A.L. Karmanov, N.A. Teplykh, V.V. Vlasov, V.I. Baluta, S.S. Varykhanov, A.A. Karandeev, V.P. Osipov, Yu.G. Rykov, B.N. Chetverushkin |
| 8 |
[GO] |
Mathematical Biology and Bioinformatics |
2022―Nov―17 |
On Classification and Taxonomy of Coronaviruses (Riboviria, Nidovirales, Coronaviridae) with Special Focus on Severe Acute Respiratory Syndrome-Related Coronavirus 2 (SARS-CoV-2) |
E.V. Mavrodiev, M.L. Tursky, N.E. Mavrodiev, L. Schroder, A.P. Laktionov, M.C. Ebach, D.M. Williams |
| 9 |
[GO] |
Mathematical Biology and Bioinformatics |
2022―Sep―15 |
Development of a Deep Learning Generative Neural Network for Computer-Aided Design of Potential SARS-Cov-2 Inhibitors |
N.A. Shuldau, A.M. Yushkevich, K.V. Furs, A.V. Tuzikov, A.M. Andrianov |
| 10 |
[GO] |
Mathematical Biology and Bioinformatics |
2022―Jun―20 |
Stochastic Modeling of Dynamics of the Spread of COVID-19 Infection Taking Into Account the Heterogeneity of Population According To Immunological, Clinical and Epidemiological Criteria |
N. Pertsev, K. Loginov, A. Lukashev, Yu. Vakulenko |
| 11 |
[GO] |
Mathematical Biology and Bioinformatics |
2022―Mar―15 |
Coronavirus Genus Recognition Based on Prototype Virus Variants |
M.B. Chaley, V.A. Kutyrkin |
| 12 |
[GO] |
Mathematical Biology and Bioinformatics |
2021―May―25 |
Study of SEIRD Adaptive-Compartmental Model of COVID-19 Epidemic Spread in Russian Federation Using Optimization Methods |
S.P. Levashkin, S.N. Agapov, O.I. Zakharova, K.N. Ivanov, E.S. Kuzmina, V.A. Sokolovsky, A.S. Monasova, A.V. Vorobiev, D.N. Apeshin |
| 13 |
[GO] |
Mathematical Biology and Bioinformatics |
2021―May―14 |
A Fractional Epidemic Model with Mittag-Leffler Kernel for COVID-19 |
Hassan Aghdaoui, Mouhcine Tilioua, Kottakkaran Sooppy Nisar, Ilyas Khan |
| 14 |
[GO] |
Mathematical Biology and Bioinformatics |
2020―Dec―29 |
Coding Structure for the ORF1ab, S, M and N Coronavirus Genes |
M.B. Chaley, Zh.S. Tyulko, V.A. Kutyrkin |
