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Coronavirus drug discovery. Volume 3, Druggable targets and in silico update /
Coronavirus Drug Discovery, Volume Three: Druggable Targets and In Silico Update presents comprehensive information on drug discovery against COVID-19. Chapters in Part One of this volume describe the various druggable targets and associated signaling pathways for effective targeting of SARS-CoV-2....
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
2022.
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| Colección: | Drug Discovery Update
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Coronavirus drug discovery. |n Volume 3, |p Druggable targets and in silico update / |c edited by Chukwuebuka Egbuna. |
| 246 | 3 | 0 | |a Druggable targets and in silico update |
| 264 | 1 | |a Amsterdam : |b Elsevier, |c 2022. | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 0 | |a Drug Discovery Update | |
| 500 | |a <p><b>PART 1: DRUGGABLE TARGETS AND SIGNALING PATHWAYS</b> 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</p> <p><b>PART 2: COMPUTATIONAL APPROACHES</b> 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 </p> | ||
| 588 | |a Description based on CIP data; resource not viewed. | ||
| 520 | |a Coronavirus Drug Discovery, Volume Three: Druggable Targets and In Silico Update presents comprehensive information on drug discovery against COVID-19. Chapters in Part One of this volume describe the various druggable targets and associated signaling pathways for effective targeting of SARS-CoV-2. In Part Two, chapters discuss the various computational approaches and in silico studies against SARS-CoV-2. Written by global team of experts, this book is an excellent resource that will be extremely useful to drug developers, medicinal chemists, pharmaceutical companies in R&D, research institutes in both academia and industry, and the National Library of Medicines and Health. In addition, agencies such as the National Institutes of Health, Centers for Disease Control and Prevention, World Health Organization, European Medicines Agency, the US Food and Drug Administration, and all others involved in drug discovery against COVID-19 will find this book useful. | ||
| 650 | 0 | |a COVID-19 (Disease) |x Chemotherapy |x Research. | |
| 650 | 0 | |a COVID-19 (Disease) |x Diagnosis. | |
| 650 | 0 | |a COVID-19 (Disease) |x Prevention. | |
| 650 | 6 | |a COVID-19 |0 (CaQQLa)000313216 |x Chimioth�erapie |0 (CaQQLa)201-0379519 |x Recherche. |0 (CaQQLa)201-0379425 | |
| 650 | 7 | |a COVID-19 (Disease) |x Diagnosis |2 fast |0 (OCoLC)fst01984644 | |
| 650 | 7 | |a COVID-19 (Disease) |x Prevention |2 fast |0 (OCoLC)fst02021842 | |
| 700 | 1 | |a Egbuna, Chukwuebuka, |e editor. |1 https://isni.org/isni/000000049564932X. | |
| 776 | 0 | 8 | |i Print version: |z 9780323955782 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780323955782 |z Texto completo |