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Large scale peptide screening against main protease of SARS CoV-2.
Uddin, Md Jaish; Akhter, Hasina; Chowdhury, Urmi; Mawah, Jannatul; Karim, Sanzida Tul; Jomel, Mohammad; Islam, Md Sirajul; Islam, Mohammad Raqibul; Onin, Latifa Afrin Bhuiyan; Ali, Md Ackas; Efaz, Faiyaz Md; Halim, Mohammad A.
Afiliación
  • Uddin MJ; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Akhter H; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Chowdhury U; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Mawah J; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Karim ST; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Jomel M; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Islam MS; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Islam MR; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Onin LAB; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Ali MA; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
  • Efaz FM; Department of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, Georgia, USA.
  • Halim MA; Division of Infectious Disease and Division of Computer-Aided Drug Design, The Red-Green Research Centre, Dhaka, Bangladesh.
J Comput Chem ; 44(8): 887-901, 2023 03 30.
Article en En | MEDLINE | ID: mdl-36478400
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Comput Chem Asunto de la revista: QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Comput Chem Asunto de la revista: QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh