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Coronavirus Immunotherapeutic Consortium Database.
Mahita, Jarjapu; Ha, Brendan; Gambiez, Anais; Schendel, Sharon L; Li, Haoyang; Hastie, Kathryn M; Dennison, S Moses; Li, Kan; Kuzmina, Natalia; Periasamy, Sivakumar; Bukreyev, Alexander; Munt, Jennifer E; Osei-Twum, Mary; Atyeo, Caroline; Overton, James A; Vita, Randi; Guzman-Orozco, Hector; Mendes, Marcus; Kojima, Mari; Halfmann, Peter J; Kawaoka, Yoshihiro; Alter, Galit; Gagnon, Luc; Baric, Ralph S; Tomaras, Georgia D; Germann, Tim; Bedinger, Daniel; Greenbaum, Jason A; Saphire, Erica Ollmann; Peters, Bjoern.
Afiliación
  • Mahita J; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Ha B; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Gambiez A; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Schendel SL; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Li H; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Hastie KM; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Dennison SM; Center for Human Systems Immunology, Departments of Surgery, Immunology, and Molecular Genetics and Microbiology and Duke Human Vaccine Institute, Duke University, Durham, NC 27701, USA.
  • Li K; Center for Human Systems Immunology, Departments of Surgery, Immunology, and Molecular Genetics and Microbiology and Duke Human Vaccine Institute, Duke University, Durham, NC 27701, USA.
  • Kuzmina N; Department of Pathology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-0609, USA.
  • Periasamy S; Department of Microbiology and Immunology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-1019, USA.
  • Bukreyev A; Department of Pathology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-0609, USA.
  • Munt JE; Department of Microbiology and Immunology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-1019, USA.
  • Osei-Twum M; Department of Pathology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-0609, USA.
  • Atyeo C; Department of Microbiology and Immunology, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77555-1019, USA.
  • Overton JA; Galveston National Laboratory, University of Texas Medical Branch at Galveston, 301 University Blvd, Galveston, TX 77550, USA.
  • Vita R; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, 2101 McGavran-Greenberg Hall,CB #7435, Chapel Hill, NC 27599-7435, USA.
  • Guzman-Orozco H; Nexelis, a Q2 Solutions Company, 525 Boulevard Cartier Ouest, Laval, Quebec H7V 3S8, Canada.
  • Mendes M; Ragon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambrige, MA 02139-3583, USA.
  • Kojima M; Knocean Inc., 107 Quebec Ave. Toronto, Ontario, M6P 2T3, Canada.
  • Halfmann PJ; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Kawaoka Y; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Alter G; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Gagnon L; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Baric RS; Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA.
  • Tomaras GD; Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA.
  • Germann T; Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan.
  • Bedinger D; The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo 162-8655, Japan.
  • Greenbaum JA; Ragon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambrige, MA 02139-3583, USA.
  • Saphire EO; Nexelis, a Q2 Solutions Company, 525 Boulevard Cartier Ouest, Laval, Quebec H7V 3S8, Canada.
  • Peters B; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 135 Dauer Drive, 2101 McGavran-Greenberg Hall,CB #7435, Chapel Hill, NC 27599-7435, USA.
Database (Oxford) ; 20232023 02 10.
Article en En | MEDLINE | ID: mdl-36763096
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has seen multiple anti-SARS-CoV-2 antibodies being generated globally. It is difficult, however, to assemble a useful compendium of these biological properties if they are derived from experimental measurements performed at different sites under different experimental conditions. The Coronavirus Immunotherapeutic Consortium (COVIC) circumvents these issues by experimentally testing blinded antibodies side by side for several functional activities. To collect these data in a consistent fashion and make it publicly available, we established the COVIC database (COVIC-DB, https//covicdb.lji.org/). This database enables systematic analysis and interpretation of this large-scale dataset by providing a comprehensive view of various features such as affinity, neutralization, in vivo protection and effector functions for each antibody. Interactive graphs enable direct comparisons of antibodies based on select functional properties. We demonstrate how the COVIC-DB can be utilized to examine relationships among antibody features, thereby guiding the design of therapeutic antibody cocktails. Database URL  https//covicdb.lji.org/.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos