Your browser doesn't support javascript.
loading
Subtractive proteomics analysis to uncover the potent drug targets for distinctive drug design of Candidaauris.
Bappy, Md Nazmul Islam; Robin, Tanjin Barketullah; Prome, Anindita Ash; Patil, Rajesh B; Moin, Abu Tayab; Akter, Rupali; Laskar, Fayeza Sadia; Roy, Anindita; Akter, Hafsa; Zinnah, Kazi Md Ali.
Afiliación
  • Bappy MNI; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Robin TB; Department of Animal and Fish Biotechnology, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Prome AA; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Patil RB; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Moin AT; Department of Pharmaceutical Chemistry, Sinhgad Technical Education Society's, Sinhgad College of Pharmacy, Off Sinhgad Road, Vadgaon (Bk), Pune 411041, Maharashtra, India.
  • Akter R; Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
  • Laskar FS; Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
  • Roy A; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Akter H; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
  • Zinnah KMA; Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
Heliyon ; 9(6): e17026, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37484251
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 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 Idioma: En Año: 2023 Tipo del documento: Article