Your browser doesn't support javascript.
loading
Identification of Natural Lead Compounds against Hemagglutinin-Esterase Surface Glycoprotein in Human Coronaviruses Investigated via MD Simulation, Principal Component Analysis, Cross-Correlation, H-Bond Plot and MMGBSA.
Ali, Iqra; Rasheed, Muhammad Asif; Cavalu, Simona; Rahim, Kashif; Ijaz, Sana; Yahya, Galal; Goh, Lucky Poh Wah; Popoviciu, Mihaela Simona.
Afiliación
  • Ali I; Department of Biosciences, COMSATS (Commission on Science and Technology for Sustainable Development in the South) University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Rasheed MA; Department of Biosciences, COMSATS (Commission on Science and Technology for Sustainable Development in the South) University Islamabad, Islamabad Campus, Islamabad 45550, Pakistan.
  • Cavalu S; Department of Biosciences, COMSATS (Commission on Science and Technology for Sustainable Development in the South) University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Rahim K; Faculty of Medicine and Pharmacy, University of Oradea, P-ta 1 Decembrie 10, 410087 Oradea, Romania.
  • Ijaz S; Department of Microbiology, Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur 63100, Pakistan.
  • Yahya G; Department of Biosciences, COMSATS (Commission on Science and Technology for Sustainable Development in the South) University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Goh LPW; Department of Microbiology and Immunology, Faculty of Pharmacy, Zagazig University, Zagazig 44519, Egypt.
  • Popoviciu MS; Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.
Biomedicines ; 11(3)2023 Mar 06.
Article en En | MEDLINE | ID: mdl-36979773
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

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