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Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2.
Abel, Renata; Paredes Ramos, María; Chen, Qiaofeng; Pérez-Sánchez, Horacio; Coluzzi, Flaminia; Rocco, Monica; Marchetti, Paolo; Mura, Cameron; Simmaco, Maurizio; Bourne, Philip E; Preissner, Robert; Banerjee, Priyanka.
Afiliación
  • Abel R; Institute of Physiology, Charité-University Medicine Berlin, Berlin, Germany.
  • Paredes Ramos M; METMED Research Group, Physical Chemistry Department, Universidade da Coruña (UDC), A Coruña, Spain.
  • Chen Q; Institute of Physiology, Charité-University Medicine Berlin, Berlin, Germany.
  • Pérez-Sánchez H; Structural Bioinformatics and High-Performance Computing (BIO-HPC) Research Group, Universidad Católica de Murcia (UCAM), Murcia, Spain.
  • Coluzzi F; Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.
  • Rocco M; Unit of Anesthesia and Intensive Care Medicine, Sant' Andrea University Hospital, Rome, Italy.
  • Marchetti P; Unit of Anesthesia and Intensive Care Medicine, Sant' Andrea University Hospital, Rome, Italy.
  • Mura C; Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Rome, Italy.
  • Simmaco M; Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Rome, Italy.
  • Bourne PE; Department of Biomedical Engineering and School of Data Science, University of Virginia, Charlottesville, VA, United States.
  • Preissner R; Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy.
  • Banerjee P; Advanced Molecular Diagnostic Unit, Sant' Andrea University Hospital, Rome, Italy.
Front Chem ; 8: 590263, 2020.
Article en En | MEDLINE | ID: mdl-33425850
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article