COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv

31,637 Articles (22,913 medRxiv, 8,724 bioRxiv)

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Human type-I interferon omega holds potent antiviral properties and promotes cytolytic CD8+ T cell responses
Nguyen, H. O., Recordon-Pinson, P., Andreola, M.-L., Papagno, L., Appay, V.
10.1101/2025.02.13.638030 — Posted: 2025-02-14
Magnetoencephalography Reveals Neuroprotective Effects of COVID-19 Vaccination in Non-Human Primates
Stapleton-Kotloski, J., Rowland, J., Davenport, A., Epperly, P., Blevins, M., Godwin, D., Ewing, D., Liang, Z., Sundaram, A. K., Petrovsky, N., Porter, K., Gamble, C. S., Sanders, J. W., Daunais, J.
10.1101/2025.02.14.638187 — Posted: 2025-02-14
Design of Protein Sequences with Precisely Tuned Kinetic Properties
Brotzakis, Z. F., Vendruscolo, M., Skretas, G.
10.1101/2025.02.13.638027 — Posted: 2025-02-14
Developing Foundation Models for Predicting Viral Animal Host Range in Intelligent Surveillance
Guo, J., Guo, Q., Yin, H., Han, Y., Geng, P. X., Hou, J., Zhang, H., Tan, J., Li, M., Zhang, Y., Jiang, X., Zhu, H.
10.1101/2025.02.13.638012 — Posted: 2025-02-14
Identification of a multi-omics factor predictive of long COVID in the IMPACC study
Gabernet, G., Maciuch, J., Gygi, J. P., Moore, J. F., Hoch, A., Syphurs, C., Chu, T., Jayavelu, N. D., Corry, D. B., Kheradmand, F., Baden, L. R., Sekaly, R.-P., McComsey, G. A., Haddad, E. K., Cairns, C. B., Rouphael, N., Fernandez-Sesma, A., Simon, V., Metcalf, J. P., Agudelo Higuita, N. I., Hough, C. L., Messer, W. B., Davis, M. M., Nadeau, K. C., Pulendran, B., Kraft, M., Bime, C., Reed, E. F., Schaenman, J., Erle, D. J., Calfee, C. S., Atkinson, M. A., Brackenridge, S. C., Melamed, E., Shaw, A. C., Hafler, D. A., Ozonoff, A., Bosinger, S. E., Eckalbar, W., Maecker, H. T., Kim-Schulze, S., Steen, H., Krammer, F., Westendorf, K., IMPACC Network, , Peters, B., Fourati, S., Altman, M. C., Levy, O., Smolen, K. K., Montgomery, R. R., Diray-Arce, J., Kleinstein, S. H., Guan, L., Ehrlich, L. I. R.
10.1101/2025.02.12.637926 — Posted: 2025-02-14
A Machine-Learning Approach to Finding Gene Target Treatment Options for Long COVID
Lopez-Rincon, A.
10.1101/2025.02.07.25321856 — Posted: 2025-02-13
Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors
Jayavelu, N. D., Samaha, H., Wimalasena, S. T., Hoch, A., Gygi, J. P., Gabernet, G., Ozonoff, A., Liu, S., Milliren, C. E., Levy, O., Baden, L. R., Melamed, E., Ehrlich, L. I. R., McComsey, G. A., Sekaly, R. P., Cairns, C. B., Haddad, E. K., Schaenman, J., Shaw, A. C., Hafler, D. A., Montgomery, R. R., Corry, D. B., Kheradmand, F., Atkinson, M. A., Brakenridge, S. C., Higuita, N. I. A., Metcalf, J. P., Hough, C. L., Messer, W. B., Pulendran, B., Nadeau, K. C., Davis, M. M., Geng, L. N., Sesma, A. F., Simon, V., Krammer, F., Kraft, M., Bime, C., Calfee, C. S., Erle, D. J., Langelier, C. R., IMP
10.1101/2025.02.12.25322164 — Posted: 2025-02-13
Variant-specific antibody correlates of protection against SARS-CoV-2 Omicron symptomatic and overall infections
Zambrana, J. V., Mellis, I. A., Shotwell, A., Maier, H. E., Saborio, Y., Barillas, C., Lopez, R., Vasquez, G., Plazaola, M., Sanchez, N., Ojeda, S., Gilbertson, I., Kuan, G., Wang, Q., Liu, L., Balmaseda, A., Ho, D. D., Gordon, A.
10.1101/2025.02.11.25322066 — Posted: 2025-02-13
Modelling the Dynamics of SARS-CoV-2 during early phase of infection
Xu, J., Hall, I., House, T., Lopez-Garcia, M.
10.1101/2025.02.12.25321951 — Posted: 2025-02-13
Predicting antibody kinetics and duration of protection against SARS-CoV-2 following vaccination from sparse serological data
Deichmann, J., Barda, N., Canetti, M., Peretz, Y., Ottolenghi, Y., Lustig, Y., Regev-Yochay, G., Lipsitch, M.
10.1101/2025.02.10.25322008 — Posted: 2025-02-13

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* The Clinical Trials and Epidemiology subject categories are now closed to new submissions following the completion of bioRxiv's clinical research pilot project and launch of the dedicated health sciences server medRxiv (submit.medrxiv.org). New papers that report results of Clinical Trials must now be submitted to medRxiv. Most new Epidemiology papers also should be submitted to medRxiv, but if a paper contains no health-related information, authors may choose to submit it to another bioRxiv subject category (e.g., Genetics or Microbiology).