Description: PART 1: DRUGGABLE TARGETS AND SIGNALING PATHWAYS 1. SARS-CoV-2 genome sequencing and promising druggable targets 2. Signaling pathways implicated in SARS-CoV2 infection 3. Roles of membrane lipids and lipid synthesis inhibitors in the propagation of coronavirus disease 4. Potential Drugs in SARS-CoV-2 Treatment: Key Features and Mechanisms of Actions PART 2: COMPUTATIONAL APPROACHES 5. Application of computational tools for coronavirus drug discovery 6. In silico Approaches in Drug Discovery for SARS-CoV-2 7. Application of molecular docking and dynamics tools in SARS-CoV-2 drug design: Ligand-protein interaction studies 8. Molecular dynamic simulation with protein and detection of repurposable drugs for COVID-19 9. Computation-guided inhibitor screening against the nucelocapsid of SARS-CoV-2 10. In-silico insight into the interaction of 4-aminoquinolines with selected SARS-CoV-2 structural and non-structural proteins 11. In silico Evaluation of Anti-SARS-CoV-2 Activity of Punica granatum L. Phytochemicals 12. In silico Investigation and Identification of Bioactive Compounds from Medicinal Plants as Potential Inhibitors against SARS-CoV-2 Cellular Entry
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EAN: 9780323955782
UPC: 9780323955782
ISBN: 9780323955782
MPN: N/A
Format: Paperback, 406 pages
Author: Chukwuebuka Egbuna (Edited by)
Item Height: 2.1 cm
Item Length: 22.9 cm
Item Weight: 0.63 kg
Item Width: 15.2 cm
Language: Eng
Publication Name: N/A
Publisher: Elsevier - Health Sciences Division
Type: N/A