COVID-19: combining antiviral and anti-inflammatory treatments

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works

Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective study

Peiris, J., Chu, C., Cheng, V., Chan, K., Hung, I., Poon, L., Law, K., Tang, B., Hon, T., Chan, C., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13412-5 · Cited by 2,375 · see citing works

Planning chemical syntheses with deep neural networks and symbolic AI

Segler, M. H. S., Preuss, M., & Waller, M. P. (2018) · Nature · doi:10.1038/nature25978 · Cited by 1,847 · see citing works

Baricitinib as potential treatment for 2019-nCoV acute respiratory disease

Richardson, P., Griffin, I., Tucker, C., Smith, D., Oechsle, O., Phelan, A., Rawling, M., Savory, E., & Stebbing, J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30304-4 · Cited by 1,456 · see citing works

JAK1/2 inhibition with baricitinib in the treatment of autoinflammatory interferonopathies

Sanchez, G. A. M., Reinhardt, A., RAMSEY, S. E., Wittkowski, H., Hashkes, P. J., Berkun, Y., Schalm, S., Murías, S., Dare, J. A., Brown, D., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci98814 · Cited by 536 · see citing works

Anticancer kinase inhibitors impair intracellular viral trafficking and exert broad-spectrum antiviral effects

Bekerman, E., Neveu, G., Shulla, A., Brannan, J. M., Pu, S., Wang, S., Xiao, F., Barouch‐Bentov, R., Bakken, R. R., Mateo, R., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci89857 · Cited by 231 · see citing works

Feasibility and biological rationale of repurposing sunitinib and erlotinib for dengue treatment

Pu, S., Xiao, F., Schor, S., Bekerman, E., Zanini, F., Barouch‐Bentov, R., Nagamine, C. M., & Einav, S. (2018) · Antiviral Research · doi:10.1016/j.antiviral.2018.05.001 · Cited by 106 · see citing works

Tocilizumab in patients with severe COVID-19: a retrospective cohort study

Guaraldi, G., Meschiari, M., Cozzi-Lepri, A., Milic, J., Tonelli, R., Menozzi, M., Franceschini, E., Cuomo, G., Orlando, G., Borghi, V., et al. (2020) · The Lancet Rheumatology · doi:10.1016/s2665-9913(20)30173-9 · Cited by 939 · see citing works

COVID-19 infection and rheumatoid arthritis: Faraway, so close

Favalli, E. G., Ingegnoli, F., De Lucia, O., Cincinelli, G., Cimaz, R., & Caporali, R. (2020) · Autoimmunity Reviews · doi:10.1016/j.autrev.2020.102523 · Cited by 454 · see citing works

Ruxolitinib in treatment of severe coronavirus disease 2019 (COVID-19): a multicenter, single-blind, randomized controlled trial

Cao, Y., Wei, J., Zou, L., Jiang, T., Wang, G., Chen, L., Huang, L., Meng, F., Huang, L., Wang, N., et al. (2020) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2020.05.019 · Cited by 456 · see citing works

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Naudé, W. (2020) · AI & SOCIETY · doi:10.1007/s00146-020-00978-0 · Cited by 368 · see citing works

Deep Learning applications for COVID-19

Shorten, C., Khoshgoftaar, T. M., & Furht, B. (2021) · Journal of Big Data · doi:10.1186/s40537-020-00392-9 · Cited by 350 · see citing works

Is older age associated with COVID-19 mortality in the absence of other risk factors? General population cohort study of 470,034 participants

Ho, F. K., Petermann-Rocha, F., Gray, S. R., Jani, B. D., Katikireddi, S. V., Niedzwiedz, C. L., Foster, H., Hastie, C. E., Mackay, D. F., Gill, J. M. R., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0241824 · Cited by 319 · see citing works

A review on the cleavage priming of the spike protein on coronavirus by angiotensin-converting enzyme-2 and furin

Hasan, A., Paray, B. A., Hussain, A., Qadir, F. A., Attar, F., Aziz, F. M., Sharifi, M., Derakhshankhah, H., Rasti, B., Mehrabi, M., et al. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1754293 · Cited by 293 · see citing works

Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study

Hoertel, N., Sánchez-Rico, M., Vernet, R., Beeker, N., Jannot, A.-S., Neuraz, A., Salamanca, E., Paris, N., Daniel, C., Gramfort, A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01021-4 · Cited by 269 · see citing works

A critical overview of computational approaches employed for COVID-19 drug discovery

Muratov, E. N., Amaro, R., Andrade, C. H., Brown, N., Ekins, S., Fourches, D., Isayev, O., Kozakov, D., Medina-Franco, J. L., Merz, K. M., et al. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01065k · Cited by 206 · see citing works

COVID-19 revisiting inflammatory pathways of arthritis

Schett, G., Manger, B., Simon, D., & Caporali, R. (2020) · Nature Reviews Rheumatology · doi:10.1038/s41584-020-0451-z · Cited by 191 · see citing works

B-cell depleting therapies may affect susceptibility to acute respiratory illness among patients with Multiple Sclerosis during the early COVID-19 epidemic in Iran

Safavi, F., Nourbakhsh, B., & Azimi, A. R. (2020) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2020.102195 · Cited by 140 · see citing works

A Comprehensive Review About SARS-CoV-2

Haque, S. M., Ashwaq, O., Sarief, A., & Azad John Mohamed, A. K. (2020) · Future Virology · doi:10.2217/fvl-2020-0124 · Cited by 121 · see citing works

Baricitinib improves respiratory function in patients treated with corticosteroids for SARS-CoV-2 pneumonia: an observational cohort study

Rodriguez-Garcia, J. L., Sanchez-Nievas, G., Arevalo-Serrano, J., Garcia-Gomez, C., Jimenez-Vizuete, J. M., & Martinez-Alfaro, E. (2021) · Rheumatology · doi:10.1093/rheumatology/keaa587 · Cited by 112 · see citing works

Knowledge graphs and their applications in drug discovery

MacLean, F. (2021) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2021.1910673 · Cited by 105 · see citing works

Baricitinib in hospitalised patients with COVID-19: a meta-analysis of randomised controlled trials

Selvaraj, V., Finn, A., Lal, A., Khan, M. S., Dapaah-Afriyie, K., & Carino, G. P. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101489 · Cited by 101 · see citing works

Current Status of COVID-19 Therapies and Drug Repositioning Applications

Altay, O., Mohammadi, E., Lam, S., Turkez, H., Boren, J., Nielsen, J., Uhlen, M., & Mardinoglu, A. (2020) · iScience · doi:10.1016/j.isci.2020.101303 · Cited by 98 · see citing works

NAD+ in COVID-19 and viral infections

Zheng, M., Schultz, M. B., & Sinclair, D. A. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.02.001 · Cited by 62 · see citing works

Expert-Augmented computational drug repurposing identified baricitinib as a treatment for COVID-19

Smith, D. P., Oechsle, O., Rawling, M. J., Savory, E., Lacoste, A. M. B., & Richardson, P. J. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.709856 · Cited by 62 · see citing works

Artificial Intelligence in Small-Molecule Drug Discovery: A Critical Review of Methods, Applications, and Real-World Outcomes

Niazi, S. K. (2025) · Pharmaceuticals · doi:10.3390/ph18091271 · Cited by 61 · see citing works

Frequently asked questions regarding SARS-CoV-2 in cancer patients—recommendations for clinicians caring for patients with malignant diseases

EHA Infectious Disease Scientific Working Group, von Lilienfeld-Toal, M., Vehreschild, J. J., Cornely, O., Pagano, L., Compagno, F., & Hirsch, H. H. (2020) · Leukemia · doi:10.1038/s41375-020-0832-y · Cited by 55 · see citing works

Success stories of AI in drug discovery - where do things stand?

Mak, K.-K., Balijepalli, M. K., & Pichika, M. R. (2022) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2022.1985108 · Cited by 51 · see citing works

Glucagon-like peptide-1 receptor mediates the beneficial effect of liraglutide in an acute lung injury mouse model involving the thioredoxin-interacting protein

Zhou, W., Shao, W., Zhang, Y., Liu, D., Liu, M., & Jin, T. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00292.2020 · Cited by 36 · see citing works

Incentivizing the Sharing of Healthcare Data in the AI Era

Panagopoulos, A., Minssen, T., Sideri, K., Yu, H., & Compagnucci, M. C. (2022) · Computer Law & Security Review · doi:10.1016/j.clsr.2022.105670 · Cited by 39 · see citing works

The interference between SARS-COV-2 and Alzheimer’s disease: Potential immunological and neurobiological crosstalk from a kinase perspective reveals a delayed pandemic

Mansour, H. M. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102195 · Cited by 3 · see citing works

ОПЫТ ИССЛЕДОВАНИЯ СЕРОПРЕВАЛЕНТНОСТИ К ВИРУСУ SARS-CoV-2 НАСЕЛЕНИЯ ИРКУТСКОЙ ОБЛАСТИ В ПЕРИОД ВСПЫШКИ COVID-19Preprint

Popova, A. Y., Ezhlova, E. B., Melnikova, A. A., Балахонов, С. В., Chesnokova, M. V., Dubrovina, V. I., Лялина, Л., Смирнов, В. С., Ag, T., Николаевич, П. А., et al. (2020) · doi:10.21055/preprints-3111809 · Cited by 2 · see citing works

Перинатальные последствия COVID-19 (SARS-CoV-2): обзор литературы (часть I)

Жабченко, И. А., Gerevich, N. V., Kravtsova, Y. A., Сюдмак, О. Р., Коваленко, Т. Н., Бондаренко, Е. Н., & Lishchenko, I. S. (2022) · Репродуктивная медицина · doi:10.37800/rm.1.2022.7-14 · Cited by 3 · see citing works

ОПЫТ ОЦЕНКИ ПОПУЛЯЦИОНОГО ИММУНИТЕТА К SARS-CoV-2 СРЕДИ НАСЕЛЕНИЯ ЛЕНИНГРАДСКОЙ ОБЛАСТИ В ПЕРИОД ЭПИДЕМИИ COVID-19Preprint

Popova, A. Y., Ezhlova, E. B., Melnikova, A. A., Istorik, O. A., Mosevich, O. S., Лялина, Л. В., Смирнов, В. С., Черный, М., Балабашыва, Н., Loginova, I. S., et al. (2020) · doi:10.21055/preprints-3111753 · Cited by 7 · see citing works

Особенности сахароснижающей фармакотерапии у пациентов с SARS-CoV-2 (COVID-19)

Кухнина, Л. С., Сахарова, К. В., & Elina, D. (2021) · ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ · doi:10.18411/lj-04-2021-51

ПОПУЛЯЦИОННЫЙ ИММУНИТЕТ К ВИРУСУ SARS-CoV-2 СРЕДИ НАСЕЛЕНИЯ САНКТ-ПЕТЕРБУРГА В АКТИВНУЮ ФАЗУ ЭПИДЕМИИ COVID-19Preprint

Попова, А., Ezhlova, E. B., Melnikova, A. A., Башкетова, Н. С., Фридман, Р., Лялина, Л. В., Смирнов, В. С., Chkhindzheriya, I. G., Grechaninova, T. A., Agapov, K. A., et al. (2020) · doi:10.21055/preprints-3111752 · Cited by 12 · see citing works