BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Ivanov S, Lagunin A, Filimonov D, Tarasova O. Network-Based Analysis of OMICs Data to Understand the HIV-Host Interaction. Front Microbiol 2020;11:1314. [PMID: 32625189 DOI: 10.3389/fmicb.2020.01314] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Eskandarzade N, Ghorbani A, Samarfard S, Diaz J, Guzzi PH, Fariborzi N, Tahmasebi A, Izadpanah K. Network for network concept offers new insights into host- SARS-CoV-2 protein interactions and potential novel targets for developing antiviral drugs. Comput Biol Med 2022;146:105575. [PMID: 35533462 DOI: 10.1016/j.compbiomed.2022.105575] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
2 Kálai T, Pongrácz JE, Mátyus P. Recent Advances in Influenza, HIV and SARS-CoV-2 Infection Prevention and Drug Treatment—The Need for Precision Medicine. Chemistry 2022;4:216-58. [DOI: 10.3390/chemistry4020019] [Reference Citation Analysis]
3 Ivanov SM, Tarasova OA, Poroikov VV. Analysis of receptors responsible for the dysfunction of the human immune system by different viral infections.. [DOI: 10.1101/2022.01.26.477819] [Reference Citation Analysis]
4 Linkner TR, Ambrus V, Kunkli B, Szojka ZI, Kalló G, Csősz É, Kumar A, Emri M, Tőzsér J, Mahdi M. Cellular Proteo-Transcriptomic Changes in the Immediate Early-Phase of Lentiviral Transduction. Microorganisms 2021;9:2207. [PMID: 34835333 DOI: 10.3390/microorganisms9112207] [Reference Citation Analysis]
5 Baltoumas FA, Zafeiropoulou S, Karatzas E, Koutrouli M, Thanati F, Voutsadaki K, Gkonta M, Hotova J, Kasionis I, Hatzis P, Pavlopoulos GA. Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review. Biomolecules 2021;11:1245. [PMID: 34439912 DOI: 10.3390/biom11081245] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
6 Bauby H, Ward CC, Hugh-White R, Swanson CM, Schulz R, Goujon C, Malim MH. HIV-1 Vpr Induces Widespread Transcriptomic Changes in CD4(+) T Cells Early Postinfection. mBio 2021;12:e0136921. [PMID: 34154423 DOI: 10.1128/mBio.01369-21] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Tarasova O, Rudik A, Kireev D, Poroikov V. RHIVDB: A Freely Accessible Database of HIV Amino Acid Sequences and Clinical Data of Infected Patients. Front Genet 2021;12:679029. [PMID: 34178036 DOI: 10.3389/fgene.2021.679029] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Ivanov S, Filimonov D, Tarasova O. A computational analysis of transcriptional profiles from CD8(+) T lymphocytes reveals potential mechanisms of HIV/AIDS control and progression. Comput Struct Biotechnol J 2021;19:2447-59. [PMID: 34025935 DOI: 10.1016/j.csbj.2021.04.056] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Zhuang S, Torbett BE. Interactions of HIV-1 Capsid with Host Factors and Their Implications for Developing Novel Therapeutics. Viruses 2021;13:417. [PMID: 33807824 DOI: 10.3390/v13030417] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
10 Tarasova OA, Rudik AV, Ivanov SM, Lagunin AA, Poroikov VV, Filimonov DA. Machine Learning Methods in Antiviral Drug Discovery. Biophysical and Computational Tools in Drug Discovery 2021. [DOI: 10.1007/7355_2021_121] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Ivanov S, Filimonov D, Tarasova O. Comprehensive analysis of HIV elite controllers’ and progressors’ transcriptional profiles from CD8+ T lymphocytes demonstrates heterogeneity of pathways and master regulators, which may be essential for disease nonprogression.. [DOI: 10.1101/2020.10.19.346528] [Reference Citation Analysis]