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

31,676 Articles (22,913 medRxiv, 8,763 bioRxiv)

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COVID-19 and Environmental factors. A PRISMA-compliant systematic review
Vantarakis, A., Chatziprodromidou, I., Apostolou, T.
10.1101/2020.05.10.20069732 — Posted: 2020-05-15
The Red Queen's Crown: an evolutionary arms race between coronaviruses and mammalian species reflected in positive selection of the ACE2 receptor among many species
Hajibabaei, M., Singer, G. A.
10.1101/2020.05.14.096131 — Posted: 2020-05-15
Unveiling diffusion pattern and structural impact of the most invasive SARS-CoV-2 spike mutation
Trucchi, E., Gratton, P., Mafessoni, F., Motta, S., Cicconardi, F., Bertorelle, G., D'Annessa, I., Di Marino, D.
10.1101/2020.05.14.095620 — Posted: 2020-05-15 Discussion: Onsite
Predicting the Immunogenicity of T cell epitopes: From HIV to SARS-CoV-2
Gao, A., Chen, Z., Segal, F. P., Mary Carrington, M., Streeck, H., Chakraborty, A. K., Juelg, B.
10.1101/2020.05.14.095885 — Posted: 2020-05-15
Identification of conserved epitopes in SARS-CoV-2 spike and nucleocapsid protein.
Forcelloni, S., Benedetti, A., Dilucca, M., Giansanti, A.
10.1101/2020.05.14.095133 — Posted: 2020-05-15
Insights into molecular evolution recombination of pandemic SARS-CoV-2 using Saudi Arabian sequences
Nour, I., Alanazi, I. O., Hanif, A., Kohl, A., Eifan, S. A.
10.1101/2020.05.13.093971 — Posted: 2020-05-14
Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome
Crooke, S. N., Ovsyannikova, I. G., Kennedy, R. B., Poland, G. A.
10.1101/2020.05.14.093757 — Posted: 2020-05-14
Estimating and forecasting COVID-19 attack rates and mortality
Ketcheson, D. I., Ombao, H. C., Moraga, P., Ballal, T., Duarte, C. M.
10.1101/2020.05.11.20097972 — Posted: 2020-05-14
Comparative analyses revealed reduced spread of COVID-19 in malaria endemic countries
Muneer, A., Kumari, K., Tripathi, M., Srivastava, R., Mohmmed, A., Rathore, S.
10.1101/2020.05.11.20097923 — Posted: 2020-05-14 Discussion: Onsite
Proposed Clinical Indicators for Efficient Screening and Testing for COVID-19 Infection from Classification and Regression Trees (CART) Analysis
Zimmerman, R. K., Nowalk, M. P., Bear, T., Taber, R., Sax, T. M., Eng, H., Balasubramani, G. K.
10.1101/2020.05.11.20097980 — Posted: 2020-05-14

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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).